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【压缩文件】 [ FreeCourseWeb.com ] PyTorch for Deep Learning with Python Bootcamp.zip

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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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【影视】 PyTorch-Deep Learning and Artificial Intelligence [updated]

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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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【压缩文件】 [ FreeCourseWeb.com ] Udemy - Deep Learning - Computer Vision Beginner to Advanced Pytorch.zip

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[ FreeCourseWeb.com ] Udemy - Deep Learning - Computer Vision Beginner to Advanced Pytorch.zip 2.6 GB

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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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【压缩文件】 Introduction to PyTorch and Machine Learning

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Introduction to PyTorch and Machine Learning.zip 982.1 MB
Download more courses.url 123 Bytes
Downloaded from TutsGalaxy.com.txt 73 Bytes
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【影视】 Modern Reinforcement Learning- Deep Q Learning in PyTorch

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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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【压缩文件】 [ FreeCourseWeb.com ] Udemy - PyTorch Tutorial - Neural Networks & Deep Learning in Python.zip

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[ FreeCourseWeb.com ] Udemy - PyTorch Tutorial - Neural Networks & Deep Learning in Python.zip 3.1 GB

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【压缩文件】 [ FreeCourseWeb.com ] Packt - Hands-on Computer Vision with PyTorch 1.x- Implement state-of-the art CV models in modern Pytorch.zip

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[ FreeCourseWeb.com ] Packt - Hands-on Computer Vision with PyTorch 1.x- Implement state-of-the art CV models in modern Pytorch.zip 1.6 GB

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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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addison.wesley.professional.deep.learning.with.tensorflow.keras.and.pytorch.sneak.peak-ridware.r00 50.0 MB
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【压缩文件】 Deep Learning Pytorch with Convolutional Neural Networks

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Modern Deep Convolutional Neural Networks with PyTorch.zip 707.0 MB
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[ FreeCourseWeb.com ] PluralSight - Image Classification with PyTorch.zip 515.3 MB

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【影视】 Deep Learning and Neural Networks in PyTorch for Beginners [Video]

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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
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【影视】深度学习与PyTorch入门实战教程

收录时间:2020-03-04 文档个数:75 文档大小:3.6 GB 最近下载:2024-01-23 人气:787 磁力链接

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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