- 【影视】 [FreeCoursesOnline.Me] Linkedin - PyTorch Essential Training Deep Learning
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03 - Working with Classes and Tensors/01 - Classes.mp4 51.3 MB
04 - Working with Loss, Autograd, and Optimizers/01 - Loss.mp4 43.4 MB
02 - Fashion MNIST and Neural Networks/01 - Working with the Fashion MNIST dataset.mp4 34.8 MB
05 - Troubleshooting and CPUGPU Usage/02 - CPU to GPU.mp4 15.5 MB
06 - Conclusion/01 - Future project ideas.mp4 15.1 MB
05 - Troubleshooting and CPUGPU Usage/01 - Troubleshooting.mp4 12.0 MB
04 - Working with Loss, Autograd, and Optimizers/02 - Autograd.mp4 11.3 MB
02 - Fashion MNIST and Neural Networks/02 - Neural network intuition.mp4 11.1 MB
04 - Working with Loss, Autograd, and Optimizers/05 - Using optimizers.mp4 10.5 MB
01 - Introduction/01 - Welcome.mp4 9.9 MB
04 - Working with Loss, Autograd, and Optimizers/03 - Autograd with tensors.mp4 9.4 MB
05 - Troubleshooting and CPUGPU Usage/03 - Validation.mp4 8.1 MB
03 - Working with Classes and Tensors/02 - Tensors.mp4 7.6 MB
03 - Working with Classes and Tensors/03 - Training the network.mp4 5.9 MB
01 - Introduction/02 - What you should know before watching this course.mp4 4.0 MB
04 - Working with Loss, Autograd, and Optimizers/04 - Optimizers.mp4 3.0 MB
Exercise Files/Ex_Files_PyTorch_EssT_DL.zip 53.1 kB
05 - Troubleshooting and CPUGPU Usage/02 - CPU to GPU.srt 9.3 kB
02 - Fashion MNIST and Neural Networks/02 - Neural network intuition.srt 9.1 kB
04 - Working with Loss, Autograd, and Optimizers/01 - Loss.srt 8.5 kB
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06 Logistic Regression with PyTorch/024 Logistic Regression with PyTorch.mp4 123.9 MB
07 Feedforward Neural Network with PyTorch/029 Feedforward Neural Network in PyTorch.mp4 66.2 MB
05 Linear Regression with PyTorch/018 Linear Regression in PyTorch.mp4 63.6 MB
08 Convolutional Neural Network (CNN) with PyTorch/041 CNN in PyTorch.mp4 59.8 MB
09 Recurrent Neural Networks (RNN)/048 RNN in PyTorch.mp4 44.7 MB
09 Recurrent Neural Networks (RNN)/049 More RNN Models in PyTorch.mp4 44.0 MB
07 Feedforward Neural Network with PyTorch/030 More Feedforward Neural Network Models in PyTorch.mp4 42.7 MB
10 Long Short-Term Memory Networks (LSTM)/054 LSTM in PyTorch.mp4 39.8 MB
08 Convolutional Neural Network (CNN) with PyTorch/042 More CNN Models in PyTorch.mp4 30.4 MB
08 Convolutional Neural Network (CNN) with PyTorch/034 One Convolutional Layer_ Input Depth of 1.mp4 29.9 MB
10 Long Short-Term Memory Networks (LSTM)/055 More LSTM Models in PyTorch.mp4 29.6 MB
06 Logistic Regression with PyTorch/023 Logistic Regression In-depth.mp4 26.2 MB
02 Software Requirements/004 PyTorch with GPU on AWS.mp4 25.3 MB
03 PyTorch Fundamentals_ Matrices/012 Basic Mathematical Tensor Operations.mp4 22.2 MB
08 Convolutional Neural Network (CNN) with PyTorch/039 Padding for Convolutional Layers.mp4 21.9 MB
06 Logistic Regression with PyTorch/025 Logistic Regression From CPU to GPU in PyTorch.mp4 21.7 MB
10 Long Short-Term Memory Networks (LSTM)/052 Introduction to LSTMs.mp4 21.0 MB
05 Linear Regression with PyTorch/019 Linear Regression From CPU to GPU in PyTorch.mp4 20.7 MB
09 Recurrent Neural Networks (RNN)/047 Introduction to RNN.mp4 20.1 MB
08 Convolutional Neural Network (CNN) with PyTorch/035 One Convolutional Layer_ Input Depth of 3.mp4 19.7 MB
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- 【影视】 [FreeCoursesOnline.Me] [UDACITY] PyTorch Scholarship Challenge - [FCO]
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[FreeCoursesOnline.Me] [UDACITY] PyTorch Scholarship Challenge - [FCO] 1.2 GB
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5.Getting Some Culture - Becoming a Deep Neural Picasso with DNN/19.Building and Training Style Transfer Model.mp4 72.6 MB
4.Making Friends - Lost in Translation with LSTM/15.Building, Training, and Testing Your Models for Language Translation.mp4 67.5 MB
2.Sleeping Under the Stars - It's a Bird...It's a Plane...It’s a CNN/05.Quick Win - Using a Pretrained AlexNet Model for Beaver Detection.mp4 58.4 MB
3.Going Abroad - Language Detection for Fun and Profit with RNN/11.Building, Training, and Testing Your Model for Language Detection.mp4 56.2 MB
2.Sleeping Under the Stars - It's a Bird...It's a Plane...It’s a CNN/07.Building, Training, and Testing Your Model.mp4 46.3 MB
4.Making Friends - Lost in Translation with LSTM/14.Understanding and Preparing Dataset for Language Translation.mp4 36.4 MB
2.Sleeping Under the Stars - It's a Bird...It's a Plane...It’s a CNN/08.Using Your Model to Detect Beavers and What’s Next.mp4 36.3 MB
2.Sleeping Under the Stars - It's a Bird...It's a Plane...It’s a CNN/06.Getting and Preparing Image Data.mp4 29.3 MB
3.Going Abroad - Language Detection for Fun and Profit with RNN/10.Understanding and Preparing Language Data.mp4 29.1 MB
5.Getting Some Culture - Becoming a Deep Neural Picasso with DNN/18.Preparing Images for Style Transfer.mp4 24.7 MB
3.Going Abroad - Language Detection for Fun and Profit with RNN/12.Using Your Model to Detect Languages and What’s Next.mp4 20.8 MB
4.Making Friends - Lost in Translation with LSTM/16.Using Your Models for Language Translation.mp4 18.8 MB
1.First Stop - A Quick Introduction to PyTorch/01.The Course Overview.mp4 12.2 MB
1.First Stop - A Quick Introduction to PyTorch/03.Installing PyTorch.mp4 5.5 MB
5.Getting Some Culture - Becoming a Deep Neural Picasso with DNN/17.Problem - Extract Key Style Features from One Image and Use It on Another One.mp4 4.5 MB
4.Making Friends - Lost in Translation with LSTM/13.Problem - Translate a Specific Text from One Language to Another.mp4 4.2 MB
2.Sleeping Under the Stars - It's a Bird...It's a Plane...It’s a CNN/04.Problem - Detect a Specific Type of Object in an Image.mp4 4.2 MB
1.First Stop - A Quick Introduction to PyTorch/02.What Makes PyTorch Special.mp4 3.4 MB
3.Going Abroad - Language Detection for Fun and Profit with RNN/09.Problem - Recognize the Language of a Specific Text.mp4 3.3 MB
Exercise Files/code_35298.zip 162 Bytes
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P35 Lesson21 MLP反向传播.mp4 86.0 MB
P38 Lesson25 交叉熵.mp4 76.3 MB
P03 Lesson03 初探Linear Regression案例-1.mp4 75.4 MB
P26 Lesson16 什么是梯度-1.mp4 72.5 MB
P75 Lesson53 情感分类实战.mp4 71.9 MB
P22 Lesson12 基本运算.mp4 70.4 MB
P31 Lesson18 激活函数及其梯度-3.mp4 68.5 MB
P53 Lesson38 卷积神经网络-2.mp4 65.9 MB
P50 Lesson37 什么是卷积-1.mp4 65.8 MB
P25 Lesson14 高阶OP.mp4 64.9 MB
P18 Lesson10 Broadcasting自动扩展-1.mp4 60.7 MB
P71 Lesson50 RNN训练难题.mp4 57.7 MB
P24 Lesson13 统计属性-2.mp4 57.4 MB
P02 Lesson02 开发环境准备.mp4 57.1 MB
P08 Lesson06 基本数据类型-1.mp4 57.0 MB
P42 Lesson29 测试.mp4 56.4 MB
P65 Lesson46 时间序列表示.mp4 56.1 MB
P70 Lesson49 时间序列预测.mp4 55.9 MB
P60 Lesson42 深度残差网络-1.mp4 55.8 MB
P43 Lesson30 Visdom可视化.mp4 55.3 MB
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1.We got a lot to do - let's get into it!/12.12 Congratulation.mp4 89.0 MB
1.We got a lot to do - let's get into it!/07.7 A deep Neural Network in Pytorch 5.mp4 51.1 MB
1.We got a lot to do - let's get into it!/06.6 linear regression in pytorch.mp4 45.5 MB
1.We got a lot to do - let's get into it!/04.4 understanding gradient descent.mp4 42.0 MB
1.We got a lot to do - let's get into it!/11.11 Convolutional Neural Networks CNN in pytorch 3 Final Test.mp4 36.3 MB
1.We got a lot to do - let's get into it!/10.10 Convolutional Neural Networks CNN in pytorch 2.mp4 35.6 MB
1.We got a lot to do - let's get into it!/05.5 transition to pytorch.mp4 26.3 MB
1.We got a lot to do - let's get into it!/03.3 The fundamentals.mp4 18.9 MB
1.We got a lot to do - let's get into it!/09.9 Convolutional Neural Networks in pytorch 1.mp4 18.1 MB
1.We got a lot to do - let's get into it!/08.8 Convolutional Neural Networks basics.mp4 12.6 MB
1.We got a lot to do - let's get into it!/01.1 Why taking this course Because....mp4 11.1 MB
1.We got a lot to do - let's get into it!/02.2 How to install pytorch.mp4 3.5 MB
Exercise Files/code_33915.zip 14.0 kB
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- 【影视】 [FreeCoursesOnline.Me] [Packt] PyTorch Deep Learning in 7 Days [FCO]
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02.Building a Neural Network/0205.Building a Network with nn.Module.mp4 143.9 MB
01.Getting started with PyTorch/0104.Tensors and Basic Tensor Operations.mp4 135.4 MB
03.Regression and Classification/0304.Loading Structured Data for Regression.mp4 112.3 MB
03.Regression and Classification/0301.Loading Structured Data for Classification.mp4 102.1 MB
02.Building a Neural Network/0202.Creating a Neural Network with PyTorch Sequential.mp4 84.3 MB
03.Regression and Classification/0302.Preprocessing Data.mp4 84.1 MB
03.Regression and Classification/0305.Neural Networks for Regression.mp4 78.6 MB
02.Building a Neural Network/0203.Activations, Loss Functions, and Gradients.mp4 77.3 MB
02.Building a Neural Network/0204.Forward and Backward Passes.mp4 73.1 MB
07.Deep Convolutional Generative Adversarial Networks/0704.Improving Performance.mp4 39.8 MB
07.Deep Convolutional Generative Adversarial Networks/0703.Training and Evaluating DCGAN on an Image Dataset.mp4 34.6 MB
01.Getting started with PyTorch/0102.Quick Intro to PyTorch.mp4 33.3 MB
01.Getting started with PyTorch/0105.Advanced Tensor Operations.mp4 28.0 MB
06.LSTM and Embedding for Natural Language Models/0604.Sentiment Analysis with Word Embeddings.mp4 27.0 MB
05.Implementing Transfer Learning/0504.Transfer Learning with ResNet.mp4 25.6 MB
01.Getting started with PyTorch/0101.The Course overview.mp4 24.7 MB
03.Regression and Classification/0303.Classification, Accuracy, and the Confusion Matrix.mp4 19.2 MB
07.Deep Convolutional Generative Adversarial Networks/0701.Introduction to GANs and DCGANs.mp4 19.2 MB
07.Deep Convolutional Generative Adversarial Networks/0705.Assignment.mp4 19.1 MB
06.LSTM and Embedding for Natural Language Models/0603.Sentiment Analysis with Bag-of-Words.mp4 16.8 MB
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Modern Reinforcement Learning- Deep Q Learning in PyTorch/04 Human Level Control Through Deep Reinforcement Learning From Paper to Code/018 Analyzing the Paper.mp4 292.7 MB
Modern Reinforcement Learning- Deep Q Learning in PyTorch/05 Deep Reinforcement Learning with Double Q Learning/031 Analyzing the Paper.mp4 191.5 MB
Modern Reinforcement Learning- Deep Q Learning in PyTorch/07 Improving On Our Solutions/038 Consolidating Our Code Base for Maximum Extensability.mp4 176.9 MB
Modern Reinforcement Learning- Deep Q Learning in PyTorch/06 Dueling Network Architectures for Deep Reinforcement Learning/033 Analyzing the Paper.mp4 140.5 MB
Modern Reinforcement Learning- Deep Q Learning in PyTorch/02 Fundamentals of Reinforcement Learning/009 Temporal Difference Learning.mp4 135.8 MB
Modern Reinforcement Learning- Deep Q Learning in PyTorch/03 Deep Learning Crash Course/010 Dealing with Continuous State Spaces with Deep Neural Networks.mp4 110.4 MB
Modern Reinforcement Learning- Deep Q Learning in PyTorch/01 Introduction/003 How to Succeed in this Course.mp4 110.3 MB
Modern Reinforcement Learning- Deep Q Learning in PyTorch/04 Human Level Control Through Deep Reinforcement Learning From Paper to Code/019 How to Modify the OpenAI Gym Atari Environments.mp4 85.8 MB
Modern Reinforcement Learning- Deep Q Learning in PyTorch/04 Human Level Control Through Deep Reinforcement Learning From Paper to Code/030 Coding the Deep Q Agent Step 5 - The Main Loop and Analyzing the Performance.mp4 76.5 MB
Modern Reinforcement Learning- Deep Q Learning in PyTorch/06 Dueling Network Architectures for Deep Reinforcement Learning/035 Coding the Dueling Deep Q Learning Agent and Analyzing Performance.mp4 74.0 MB
Modern Reinforcement Learning- Deep Q Learning in PyTorch/04 Human Level Control Through Deep Reinforcement Learning From Paper to Code/025 How to Code the Deep Q Network.mp4 69.7 MB
Modern Reinforcement Learning- Deep Q Learning in PyTorch/04 Human Level Control Through Deep Reinforcement Learning From Paper to Code/024 How to Code the Agents Memory.mp4 64.4 MB
Modern Reinforcement Learning- Deep Q Learning in PyTorch/02 Fundamentals of Reinforcement Learning/005 Markov Decision Processes.mp4 63.4 MB
Modern Reinforcement Learning- Deep Q Learning in PyTorch/03 Deep Learning Crash Course/012 Naive Deep Q Learning in Code Step 2 - Coding the Agent Class.mp4 63.1 MB
Modern Reinforcement Learning- Deep Q Learning in PyTorch/05 Deep Reinforcement Learning with Double Q Learning/032 Coding the Double Q Learning Agent and Analyzing Performance.mp4 61.1 MB
Modern Reinforcement Learning- Deep Q Learning in PyTorch/02 Fundamentals of Reinforcement Learning/004 Agents Environments and Actions.mp4 60.6 MB
Modern Reinforcement Learning- Deep Q Learning in PyTorch/07 Improving On Our Solutions/037 Implementing a Command Line Interface for Rapid Model Testing.mp4 59.9 MB
Modern Reinforcement Learning- Deep Q Learning in PyTorch/04 Human Level Control Through Deep Reinforcement Learning From Paper to Code/017 How to Read Deep Learning Papers.mp4 52.1 MB
Modern Reinforcement Learning- Deep Q Learning in PyTorch/02 Fundamentals of Reinforcement Learning/006 Value Functions Action Value Functions and the Bellman Equation.mp4 49.5 MB
Modern Reinforcement Learning- Deep Q Learning in PyTorch/03 Deep Learning Crash Course/013 Naive Deep Q Learning in Code Step 3 - Coding the Main Loop and Learning.mp4 48.0 MB
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视频/08.第八课 问答系统【瑞客论坛 www.ruike1.com】.mp4 329.1 MB
视频/07.第七课 Seq2Seq与Attention【瑞客论坛 www.ruike1.com】.mp4 299.0 MB
视频/05.第五课 简单图片分类【瑞客论坛 www.ruike1.com】.mp4 245.2 MB
视频/02.第二课 词向量简介【瑞客论坛 www.ruike1.com】.mp4 243.5 MB
视频/06.第六课 图片风格迁移和GAN【瑞客论坛 www.ruike1.com】.mp4 242.2 MB
视频/04.第四课 自然语言分类任务【瑞客论坛 www.ruike1.com】.mp4 225.3 MB
视频/03.第三课 语言模型【瑞客论坛 www.ruike1.com】.mp4 190.4 MB
视频/01.第一课 深度学习回顾与PyTorch简介【瑞客论坛 www.ruike1.com】.mp4 175.4 MB
资料/第五课资料/hymenoptera_data.zip 47.3 MB
资料/第二课资料/text8.zip 33.2 MB
资料/第一课资料/第一课.pptx 12.1 MB
资料/第二课资料/第二课.pptx 10.2 MB
资料/第八课/writing_code_for_nlp_research.pdf 8.2 MB
资料/第三课资料/第三课.pptx 7.3 MB
资料/第三课资料/第三课-draft.pptx 6.2 MB
资料/第八课/第八课QA.pptx 3.2 MB
资料/课程思维导图by 吴同学/第4课.png 2.9 MB
资料/第六课/style_GAN.ipynb 2.9 MB
资料/第一课资料/lesson1_深度学习回顾与PyTorch简介.pdf 2.4 MB
资料/第六课/第六课.pptx 2.3 MB
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[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/18. Setting up your Environment/2. Windows-Focused Environment Setup 2018.mp4 189.4 MB
[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/18. Setting up your Environment/3. Installing NVIDIA GPU-Accelerated Deep Learning Libraries on your Home Computer.mp4 175.4 MB
[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/18. Setting up your Environment/1. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 158.0 MB
[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/6. Recurrent Neural Networks, Time Series, and Sequence Data/1. Sequence Data.mp4 119.8 MB
[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/19. Appendix FAQ/8. What order should I take your courses in (part 2).mp4 113.5 MB
[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/4. Feedforward Artificial Neural Networks/8. ANN for Image Classification.mp4 111.5 MB
[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/19. Appendix FAQ/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 110.8 MB
[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/11. Deep Reinforcement Learning (Theory)/2. Elements of a Reinforcement Learning Problem.mp4 110.0 MB
[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/6. Recurrent Neural Networks, Time Series, and Sequence Data/5. Recurrent Neural Networks.mp4 97.1 MB
[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/10. GANs (Generative Adversarial Networks)/1. GAN Theory.mp4 96.6 MB
[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/2. Google Colab/2. Uploading your own data to Google Colab.mp4 94.9 MB
[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/5. Convolutional Neural Networks/5. CNN Architecture.mp4 93.9 MB
[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/4. Feedforward Artificial Neural Networks/4. Activation Functions.mp4 93.6 MB
[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/6. Recurrent Neural Networks, Time Series, and Sequence Data/11. A More Challenging Sequence.mp4 90.9 MB
[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/6. Recurrent Neural Networks, Time Series, and Sequence Data/3. Autoregressive Linear Model for Time Series Prediction.mp4 85.1 MB
[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/4. Feedforward Artificial Neural Networks/9. ANN for Regression.mp4 84.1 MB
[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/1. Introduction/2. Overview and Outline.mp4 83.5 MB
[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/5. Convolutional Neural Networks/1. What is Convolution (part 1).mp4 83.5 MB
[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/19. Appendix FAQ/7. What order should I take your courses in (part 1).mp4 83.5 MB
[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/3. Machine Learning and Neurons/6. Moore's Law Notebook.mp4 82.8 MB
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PyTorch - Deep Learning and Artificial Intelligence/18. Setting up your Environment/2. Windows-Focused Environment Setup 2018.mp4 189.4 MB
PyTorch - Deep Learning and Artificial Intelligence/18. Setting up your Environment/3. Installing NVIDIA GPU-Accelerated Deep Learning Libraries on your Home Computer.mp4 175.4 MB
PyTorch - Deep Learning and Artificial Intelligence/18. Setting up your Environment/1. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 158.0 MB
PyTorch - Deep Learning and Artificial Intelligence/6. Recurrent Neural Networks, Time Series, and Sequence Data/1. Sequence Data.mp4 119.8 MB
PyTorch - Deep Learning and Artificial Intelligence/19. Appendix FAQ/8. What order should I take your courses in (part 2).mp4 113.5 MB
PyTorch - Deep Learning and Artificial Intelligence/4. Feedforward Artificial Neural Networks/8. ANN for Image Classification.mp4 111.5 MB
PyTorch - Deep Learning and Artificial Intelligence/19. Appendix FAQ/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 110.8 MB
PyTorch - Deep Learning and Artificial Intelligence/11. Deep Reinforcement Learning (Theory)/2. Elements of a Reinforcement Learning Problem.mp4 110.0 MB
PyTorch - Deep Learning and Artificial Intelligence/6. Recurrent Neural Networks, Time Series, and Sequence Data/5. Recurrent Neural Networks.mp4 97.1 MB
PyTorch - Deep Learning and Artificial Intelligence/10. GANs (Generative Adversarial Networks)/1. GAN Theory.mp4 96.6 MB
PyTorch - Deep Learning and Artificial Intelligence/2. Google Colab/2. Uploading your own data to Google Colab.mp4 94.9 MB
PyTorch - Deep Learning and Artificial Intelligence/5. Convolutional Neural Networks/5. CNN Architecture.mp4 93.9 MB
PyTorch - Deep Learning and Artificial Intelligence/4. Feedforward Artificial Neural Networks/4. Activation Functions.mp4 93.6 MB
PyTorch - Deep Learning and Artificial Intelligence/6. Recurrent Neural Networks, Time Series, and Sequence Data/11. A More Challenging Sequence.mp4 90.9 MB
PyTorch - Deep Learning and Artificial Intelligence/6. Recurrent Neural Networks, Time Series, and Sequence Data/3. Autoregressive Linear Model for Time Series Prediction.mp4 85.1 MB
PyTorch - Deep Learning and Artificial Intelligence/4. Feedforward Artificial Neural Networks/9. ANN for Regression.mp4 84.1 MB
PyTorch - Deep Learning and Artificial Intelligence/1. Introduction/2. Overview and Outline.mp4 83.5 MB
PyTorch - Deep Learning and Artificial Intelligence/5. Convolutional Neural Networks/1. What is Convolution (part 1).mp4 83.5 MB
PyTorch - Deep Learning and Artificial Intelligence/19. Appendix FAQ/7. What order should I take your courses in (part 1).mp4 83.5 MB
PyTorch - Deep Learning and Artificial Intelligence/3. Machine Learning and Neurons/6. Moore's Law Notebook.mp4 82.8 MB
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[TutsNode.com] - Convolutional Neural Networks with Pytorch/02 Convolutional Neural Networks with Pytorch/004 Create Convolutional Neural Network model.mp4 653.3 MB
[TutsNode.com] - Convolutional Neural Networks with Pytorch/02 Convolutional Neural Networks with Pytorch/002 Load datase.mp4 497.1 MB
[TutsNode.com] - Convolutional Neural Networks with Pytorch/02 Convolutional Neural Networks with Pytorch/008 Analize model on test dataset and metrics.mp4 404.8 MB
[TutsNode.com] - Convolutional Neural Networks with Pytorch/02 Convolutional Neural Networks with Pytorch/006 Train model_ train dataset.mp4 368.5 MB
[TutsNode.com] - Convolutional Neural Networks with Pytorch/02 Convolutional Neural Networks with Pytorch/007 Train model_ validation dataset.mp4 346.1 MB
[TutsNode.com] - Convolutional Neural Networks with Pytorch/01 What is a Convolutional Neural Network_/007 Overview of Convolutional Layer.mp4 338.8 MB
[TutsNode.com] - Convolutional Neural Networks with Pytorch/02 Convolutional Neural Networks with Pytorch/003 Visualize data.mp4 228.0 MB
[TutsNode.com] - Convolutional Neural Networks with Pytorch/01 What is a Convolutional Neural Network_/012 Practical view of training a Neural Network.mp4 218.4 MB
[TutsNode.com] - Convolutional Neural Networks with Pytorch/01 What is a Convolutional Neural Network_/011 Mathematical view of training a Neural Network.mp4 216.4 MB
[TutsNode.com] - Convolutional Neural Networks with Pytorch/01 What is a Convolutional Neural Network_/004 Mathematical view of General Neural Networks.mp4 157.2 MB
[TutsNode.com] - Convolutional Neural Networks with Pytorch/01 What is a Convolutional Neural Network_/002 What is a Neural Network_.mp4 153.7 MB
[TutsNode.com] - Convolutional Neural Networks with Pytorch/01 What is a Convolutional Neural Network_/013 Train with batches.mp4 133.1 MB
[TutsNode.com] - Convolutional Neural Networks with Pytorch/02 Convolutional Neural Networks with Pytorch/009 Practical advices about training.mp4 106.9 MB
[TutsNode.com] - Convolutional Neural Networks with Pytorch/02 Convolutional Neural Networks with Pytorch/001 Practical example presentation.mp4 94.5 MB
[TutsNode.com] - Convolutional Neural Networks with Pytorch/01 What is a Convolutional Neural Network_/005 Type of Neural Networks models.mp4 87.4 MB
[TutsNode.com] - Convolutional Neural Networks with Pytorch/01 What is a Convolutional Neural Network_/001 Introduction.mp4 83.7 MB
[TutsNode.com] - Convolutional Neural Networks with Pytorch/01 What is a Convolutional Neural Network_/009 Overview of Fully Connected Layer.mp4 77.1 MB
[TutsNode.com] - Convolutional Neural Networks with Pytorch/01 What is a Convolutional Neural Network_/010 Typical Convolutional Neural Network architecture.mp4 72.1 MB
[TutsNode.com] - Convolutional Neural Networks with Pytorch/01 What is a Convolutional Neural Network_/008 Overview of Pooling Layer.mp4 69.4 MB
[TutsNode.com] - Convolutional Neural Networks with Pytorch/02 Convolutional Neural Networks with Pytorch/005 Define cost function and optimizer.mp4 69.0 MB
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~Get Your Files Here !/01 The generative revolution/007 Navigating latent spaces.mp4 111.7 MB
~Get Your Files Here !/03 Coding an advanced generative architecture/008 Coding_ Understanding convolutions.mp4 109.5 MB
~Get Your Files Here !/02 Coding a basic generative architecture/003 Understanding Cross Entropy in depth.mp4 100.4 MB
~Get Your Files Here !/04 Generating images from text by combining two advanced architectures/013 Coding_ running the training.mp4 97.5 MB
~Get Your Files Here !/04 Generating images from text by combining two advanced architectures/015 Coding_ creating a video of the interpolations and general review.mp4 93.6 MB
~Get Your Files Here !/03 Coding an advanced generative architecture/013 Coding_ Declaring dataset, dataloader and optimizers.mp4 89.2 MB
~Get Your Files Here !/01 The generative revolution/006 Latent spaces and representation learning.mp4 88.9 MB
~Get Your Files Here !/03 Coding an advanced generative architecture/009 Coding_ The generator class.mp4 87.4 MB
~Get Your Files Here !/04 Generating images from text by combining two advanced architectures/002 Multimodal generation, an incredible adventure.mp4 86.6 MB
~Get Your Files Here !/04 Generating images from text by combining two advanced architectures/008 Coding_ encode the text prompts through CLIP.mp4 68.2 MB
~Get Your Files Here !/03 Coding an advanced generative architecture/024 Coding_ morphing between points in latent space.mp4 68.2 MB
~Get Your Files Here !/01 The generative revolution/009 Benefits and possibilities of Generative A.I.mp4 67.8 MB
~Get Your Files Here !/01 The generative revolution/008 GANS_ Generative Adversarial Networks.mp4 67.4 MB
~Get Your Files Here !/03 Coding an advanced generative architecture/018 Coding_ stats and fixing issues.mp4 64.9 MB
~Get Your Files Here !/01 The generative revolution/004 The present and future of A.I is generative.mp4 63.7 MB
~Get Your Files Here !/04 Generating images from text by combining two advanced architectures/017 Coding_ Davinci Sfumato_ Tweaking the code to create a new kind of texture.mp4 62.2 MB
~Get Your Files Here !/04 Generating images from text by combining two advanced architectures/006 Coding_ Setting up the Generative transformer model.mp4 60.6 MB
~Get Your Files Here !/04 Generating images from text by combining two advanced architectures/018 Coding_ Davinci Sfumato_ reflecting about the process.mp4 59.3 MB
~Get Your Files Here !/02 Coding a basic generative architecture/007 Coding_ importing libraries and declaring a visualization function.mp4 59.0 MB
~Get Your Files Here !/01 The generative revolution/003 The generative revolution_ coming home.mp4 58.7 MB
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5. Градиентный спуск вручную.mp4 268.3 MB
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6. Пайплайн.mp4 181.9 MB
3. Градиент.mp4 181.6 MB
2. Тензор.mp4 27.0 MB
1. Установка, проверка фреймворка.mp4 16.2 MB
4. Обратное распространение ошибки.mp4 11.8 MB
Доп Ускоренный курс PyTorch/tensor.ipynb 22.1 kB
Доп Ускоренный курс PyTorch/wine.csv 11.2 kB
Доп Ускоренный курс PyTorch/batch-learning.ipynb 5.9 kB
Доп Ускоренный курс PyTorch/gradient.ipynb 5.9 kB
Доп Ускоренный курс PyTorch/gradient-descent-manual.ipynb 5.4 kB
Доп Ускоренный курс PyTorch/gradient-descent-automatic.ipynb 4.5 kB
Доп Ускоренный курс PyTorch/pipeline.ipynb 3.0 kB
Доп Ускоренный курс PyTorch/installation.ipynb 1.5 kB
Доп Ускоренный курс PyTorch/Ссылка.txt 42 Bytes
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18. Setting up your Environment (FAQ by Student Request)/2. Windows-Focused Environment Setup 2018.mp4 189.5 MB
18. Setting up your Environment (FAQ by Student Request)/3. Installing NVIDIA GPU-Accelerated Deep Learning Libraries on your Home Computer.mp4 175.5 MB
18. Setting up your Environment (FAQ by Student Request)/1. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 158.0 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/1. Sequence Data.mp4 119.8 MB
20. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/4. Machine Learning and AI Prerequisite Roadmap (pt 2).mp4 113.5 MB
4. Feedforward Artificial Neural Networks/8. ANN for Image Classification.mp4 111.5 MB
11. Deep Reinforcement Learning (Theory)/2. Elements of a Reinforcement Learning Problem.mp4 110.0 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/5. Recurrent Neural Networks.mp4 97.1 MB
10. GANs (Generative Adversarial Networks)/1. GAN Theory.mp4 96.6 MB
2. Google Colab/2. Uploading your own data to Google Colab.mp4 94.9 MB
5. Convolutional Neural Networks/5. CNN Architecture.mp4 93.9 MB
4. Feedforward Artificial Neural Networks/4. Activation Functions.mp4 93.6 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/11. A More Challenging Sequence.mp4 90.9 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/3. Autoregressive Linear Model for Time Series Prediction.mp4 85.1 MB
4. Feedforward Artificial Neural Networks/9. ANN for Regression.mp4 84.1 MB
1. Introduction/2. Overview and Outline.mp4 83.5 MB
5. Convolutional Neural Networks/1. What is Convolution (part 1).mp4 83.5 MB
20. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/3. Machine Learning and AI Prerequisite Roadmap (pt 1).mp4 83.5 MB
3. Machine Learning and Neurons/6. Moore's Law Notebook.mp4 82.7 MB
3. Machine Learning and Neurons/10. Classification Notebook.mp4 82.1 MB
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Introduction to PyTorch and Machine Learning/3. Working with Real World Data/3. Essential Python Recipes for Deep Learning.mp4 418.6 MB
Introduction to PyTorch and Machine Learning/1. PyTorch Basics & Linear Regression/1. Linear Regression with PyTorch.mp4 413.6 MB
Introduction to PyTorch and Machine Learning/2. Linear Regression with PyTorch/9. Recap Linear Regression.mp4 24.0 MB
Introduction to PyTorch and Machine Learning/1. PyTorch Basics & Linear Regression/4. Tensors and Gradients.mp4 16.3 MB
Introduction to PyTorch and Machine Learning/2. Linear Regression with PyTorch/6. Compute gradients automatically.mp4 15.2 MB
Introduction to PyTorch and Machine Learning/2. Linear Regression with PyTorch/7. Gradient Descent.mp4 14.2 MB
Introduction to PyTorch and Machine Learning/1. PyTorch Basics & Linear Regression/2. Anaconda Installation.mp4 13.0 MB
Introduction to PyTorch and Machine Learning/3. Working with Real World Data/2. Downloading Data from Kaggle.mp4 10.9 MB
Introduction to PyTorch and Machine Learning/1. PyTorch Basics & Linear Regression/5. Numpy and PyTorch interoperability.mp4 10.8 MB
Introduction to PyTorch and Machine Learning/1. PyTorch Basics & Linear Regression/3. Starting Jupyter & Creating Notebooks.mp4 10.0 MB
Introduction to PyTorch and Machine Learning/2. Linear Regression with PyTorch/8. Train multiple epochs.mp4 9.1 MB
Introduction to PyTorch and Machine Learning/2. Linear Regression with PyTorch/4. Define model & generate predictions.mp4 8.1 MB
Introduction to PyTorch and Machine Learning/2. Linear Regression with PyTorch/5. Loss Function.mp4 6.9 MB
Introduction to PyTorch and Machine Learning/3. Working with Real World Data/1. Introduction to Kaggle.mp4 6.0 MB
Introduction to PyTorch and Machine Learning/2. Linear Regression with PyTorch/3. Initialize Weights and Biases.mp4 5.7 MB
Introduction to PyTorch and Machine Learning/2. Linear Regression with PyTorch/2. Training Data as Matrices.mp4 4.7 MB
Introduction to PyTorch and Machine Learning/2. Linear Regression with PyTorch/1. Introduction to Linear Regression.mp4 4.0 MB
Introduction to PyTorch and Machine Learning/1. PyTorch Basics & Linear Regression/1. Linear Regression with PyTorch.vtt 66.0 kB
Introduction to PyTorch and Machine Learning/3. Working with Real World Data/3. Essential Python Recipes for Deep Learning.vtt 51.3 kB
Introduction to PyTorch and Machine Learning/2. Linear Regression with PyTorch/9. Recap Linear Regression.vtt 2.3 kB
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~Get Your Files Here !/02 Data Science in Numpy & Pytorch (code) - Background/001 Data Science in Numpy - Part1 (Code).mp4 123.5 MB
~Get Your Files Here !/13 SupCon & SimCLR (Code)/002 Mocking SimCLR(Code).mp4 60.4 MB
~Get Your Files Here !/05 SOTA Data augmentation (Hands On)/005 CutMix (Code).mp4 57.2 MB
~Get Your Files Here !/04 Faiss & Image Search (Hands on)/001 Image Search(Basic & Cluster).mp4 56.5 MB
~Get Your Files Here !/11 PEARL and NPILD (code)/001 NCE & Memory Bank (Code).mp4 55.8 MB
~Get Your Files Here !/03 Pytorch AutoGrad/001 Pytorch AutoGrad.mp4 47.1 MB
~Get Your Files Here !/13 SupCon & SimCLR (Code)/003 SimClr and Supervised Contrastive Learning (Code).mp4 47.0 MB
~Get Your Files Here !/11 PEARL and NPILD (code)/002 Network and Training NPILD & Pearl (Code).mp4 42.2 MB
~Get Your Files Here !/09 Non-Parametric Instance Level Discrimination(NPILD) (hands on)/001 Non-Parametric Instance-level Discrimination & Metric learning approach.mp4 41.2 MB
~Get Your Files Here !/01 Introduction/001 Why Should You Take This Course_.mp4 36.4 MB
~Get Your Files Here !/04 Faiss & Image Search (Hands on)/004 Basic Image Search With pertained Resnet (cifar-10 dataset) (Code).mp4 34.1 MB
~Get Your Files Here !/04 Faiss & Image Search (Hands on)/003 Basic Image Search (Code).mp4 34.0 MB
~Get Your Files Here !/02 Data Science in Numpy & Pytorch (code) - Background/003 Data Science in Pytorch - Part 2(Code).mp4 34.0 MB
~Get Your Files Here !/13 SupCon & SimCLR (Code)/001 Supervised Contrastive Learning.mp4 32.5 MB
~Get Your Files Here !/01 Introduction/003 Applications.mp4 31.9 MB
~Get Your Files Here !/03 Pytorch AutoGrad/002 Custom CNN in Pytorch.mp4 31.7 MB
~Get Your Files Here !/10 PEARL/004 PEARL Results.mp4 31.7 MB
~Get Your Files Here !/15 Bonus Lectures/001 Vissl & Albumentations.mp4 31.6 MB
~Get Your Files Here !/05 SOTA Data augmentation (Hands On)/006 RandAugment.mp4 30.2 MB
~Get Your Files Here !/09 Non-Parametric Instance Level Discrimination(NPILD) (hands on)/008 Non Parametric Softmax (CrossEntropy) (Code).mp4 30.0 MB
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~Get Your Files Here !/8. Pneumonia-Classification/7. Interpretability.mp4 128.1 MB
~Get Your Files Here !/5. CNN - Convolutional Neural Networks/11. MNIST with CNN - Code Along - Part One.mp4 106.9 MB
~Get Your Files Here !/1. Introduction/2. Installation and Environment Setup.mp4 103.9 MB
~Get Your Files Here !/5. CNN - Convolutional Neural Networks/3. ANN with MNIST - Part One - Data.mp4 102.6 MB
~Get Your Files Here !/5. CNN - Convolutional Neural Networks/15. Using GPUs for PyTorch.mp4 101.2 MB
~Get Your Files Here !/9. Cardiac-Detection/6. Train-02-Model-Creation.mp4 100.3 MB
~Get Your Files Here !/5. CNN - Convolutional Neural Networks/14. Why do we need GPUs.mp4 97.5 MB
~Get Your Files Here !/7. Data Formats in Medical Imaging/3. DICOM-in-Python.mp4 93.3 MB
~Get Your Files Here !/5. CNN - Convolutional Neural Networks/12. MNIST with CNN - Code Along - Part Two.mp4 91.8 MB
~Get Your Files Here !/8. Pneumonia-Classification/2. Preprocessing.mp4 90.2 MB
~Get Your Files Here !/8. Pneumonia-Classification/4. Train-02-Model-Creation.mp4 86.8 MB
~Get Your Files Here !/3. Machine Learning Concepts Overview/4. Evaluating Performance - Classification Error Metrics.mp4 86.5 MB
~Get Your Files Here !/5. CNN - Convolutional Neural Networks/5. ANN with MNIST - Part Three - Training.mp4 82.0 MB
~Get Your Files Here !/5. CNN - Convolutional Neural Networks/7. Image Filters and Kernels.mp4 75.8 MB
~Get Your Files Here !/8. Pneumonia-Classification/3. Train-01-Data-Loading.mp4 73.2 MB
~Get Your Files Here !/9. Cardiac-Detection/2. 02-Preprocessing.mp4 70.1 MB
~Get Your Files Here !/4. PyTorch Basics/3. Tensor Basics-Part Two.mp4 70.1 MB
~Get Your Files Here !/7. Data Formats in Medical Imaging/6. Preprocessing.mp4 68.2 MB
~Get Your Files Here !/10. Atrium-Segmentation/6. UNet.mp4 67.6 MB
~Get Your Files Here !/10. Atrium-Segmentation/9. Train-03-Evaluation.mp4 66.5 MB
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8. Pneumonia-Classification/7. Interpretability.mp4 128.1 MB
5. CNN - Convolutional Neural Networks/11. MNIST with CNN - Code Along - Part One.mp4 106.9 MB
1. Introduction/2. Installation and Environment Setup.mp4 103.9 MB
5. CNN - Convolutional Neural Networks/3. ANN with MNIST - Part One - Data.mp4 102.6 MB
5. CNN - Convolutional Neural Networks/15. Using GPUs for PyTorch.mp4 101.2 MB
9. Cardiac-Detection/6. Train-02-Model-Creation.mp4 100.3 MB
5. CNN - Convolutional Neural Networks/14. Why do we need GPUs.mp4 97.5 MB
7. Data Formats in Medical Imaging/3. DICOM-in-Python.mp4 93.3 MB
5. CNN - Convolutional Neural Networks/12. MNIST with CNN - Code Along - Part Two.mp4 91.8 MB
8. Pneumonia-Classification/2. Preprocessing.mp4 90.2 MB
8. Pneumonia-Classification/4. Train-02-Model-Creation.mp4 86.8 MB
3. Machine Learning Concepts Overview/4. Evaluating Performance - Classification Error Metrics.mp4 86.5 MB
5. CNN - Convolutional Neural Networks/5. ANN with MNIST - Part Three - Training.mp4 82.0 MB
5. CNN - Convolutional Neural Networks/7. Image Filters and Kernels.mp4 75.8 MB
8. Pneumonia-Classification/3. Train-01-Data-Loading.mp4 73.2 MB
9. Cardiac-Detection/2. 02-Preprocessing.mp4 70.1 MB
4. PyTorch Basics/3. Tensor Basics-Part Two.mp4 70.1 MB
7. Data Formats in Medical Imaging/6. Preprocessing.mp4 68.2 MB
10. Atrium-Segmentation/6. UNet.mp4 67.6 MB
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8. Pneumonia-Classification/7. Interpretability.mp4 128.1 MB
5. CNN - Convolutional Neural Networks/11. MNIST with CNN - Code Along - Part One.mp4 106.9 MB
1. Introduction/2. Installation and Environment Setup.mp4 103.9 MB
5. CNN - Convolutional Neural Networks/3. ANN with MNIST - Part One - Data.mp4 102.6 MB
5. CNN - Convolutional Neural Networks/15. Using GPUs for PyTorch.mp4 101.2 MB
9. Cardiac-Detection/6. Train-02-Model-Creation.mp4 100.3 MB
5. CNN - Convolutional Neural Networks/14. Why do we need GPUs.mp4 97.5 MB
7. Data Formats in Medical Imaging/3. DICOM-in-Python.mp4 93.3 MB
5. CNN - Convolutional Neural Networks/12. MNIST with CNN - Code Along - Part Two.mp4 91.8 MB
8. Pneumonia-Classification/2. Preprocessing.mp4 90.2 MB
8. Pneumonia-Classification/4. Train-02-Model-Creation.mp4 86.8 MB
3. Machine Learning Concepts Overview/4. Evaluating Performance - Classification Error Metrics.mp4 86.5 MB
5. CNN - Convolutional Neural Networks/5. ANN with MNIST - Part Three - Training.mp4 82.0 MB
5. CNN - Convolutional Neural Networks/7. Image Filters and Kernels.mp4 75.8 MB
8. Pneumonia-Classification/3. Train-01-Data-Loading.mp4 73.2 MB
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4. PyTorch Basics/3. Tensor Basics-Part Two.mp4 70.1 MB
7. Data Formats in Medical Imaging/6. Preprocessing.mp4 68.2 MB
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