- 【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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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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Exercise Files/code_33630.zip 103.9 MB
5.Recommending a Movie with Boltzmann Machines/19.Making Boltzmann Machines.mp4 60.9 MB
3.Understanding RNN and LSTM/12.Why LSTM.mp4 52.1 MB
5.Recommending a Movie with Boltzmann Machines/17.Introduction to Boltzmann Machines.mp4 41.6 MB
1.Getting Ready with PyTorch/02.Using PyTorch.mp4 40.7 MB
1.Getting Ready with PyTorch/04.Linear Regression and Logistic Regression.mp4 34.5 MB
2.Convolutional Neural Network/07.Making CNN.mp4 33.7 MB
6.Movie Rating Using a Autoencoders/21.Introduction to Autoencoders.mp4 32.7 MB
3.Understanding RNN and LSTM/11.Making RNN for Prediction.mp4 31.1 MB
3.Understanding RNN and LSTM/10.Understanding Recurrent Neural Network.mp4 29.4 MB
4.Using Autoencoders for Fraud Detection/15.Developing a Model.mp4 27.8 MB
4.Using Autoencoders for Fraud Detection/14.Getting Ready with Data.mp4 27.2 MB
6.Movie Rating Using a Autoencoders/23.Making Autoencoders.mp4 23.8 MB
2.Convolutional Neural Network/06.Looking into Images from a Machine Perspective.mp4 23.4 MB
2.Convolutional Neural Network/09.Output Layer.mp4 21.5 MB
2.Convolutional Neural Network/08.Pooling Layers.mp4 19.5 MB
5.Recommending a Movie with Boltzmann Machines/18.Getting Ready for Recommender System.mp4 18.5 MB
2.Convolutional Neural Network/05.Understanding Convolutional Neural Network.mp4 17.9 MB
7.Making Model for Object Recognition/26.Developing a Model.mp4 16.5 MB
1.Getting Ready with PyTorch/03.Understanding Regression.mp4 13.0 MB
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- 【压缩文件】 Pytorch for Deep Learning and Computer Vision
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Pytorch for Deep Learning and Computer Vision.zip 746.1 MB
Torrent downloaded from 1337x.to.txt 32 Bytes
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- 【压缩文件】 [ FreeCourseWeb.com ] Udemy - Modern Deep Convolutional Neural Networks with PyTorch.zip
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[ FreeCourseWeb.com ] Udemy - Modern Deep Convolutional Neural Networks with PyTorch.zip 707.4 MB
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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
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1.We got a lot to do - let's get into it!/12.12 Congratulation.mp4 89.0 MB
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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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[ FreeCourseWeb.com ] PluralSight - Expediting Deep Learning with Transfer Learning- PyTorch Playbook.zip 1.7 GB
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phcvwp1x-e4ad-xqzt.r00 250.0 MB
phcvwp1x-e4ad-xqzt.r01 250.0 MB
phcvwp1x-e4ad-xqzt.r02 250.0 MB
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phcvwp1x-e4ad-xqzt.r04 250.0 MB
phcvwp1x-e4ad-xqzt.rar 250.0 MB
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phcvwp1x-e4ad-xqzt.nfo 620 Bytes
phcvwp1x-e4ad-xqzt.sfv 231 Bytes
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[ FreeCourseWeb.com ] Packt - PyTorch Bootcamp for Artificial Neural Networks and Deep Learning Applications.zip 5.0 GB
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[ FreeCourseWeb.com ] PluralSight - Image Classification with PyTorch.zip 515.3 MB
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Modern Deep Convolutional Neural Networks with PyTorch.zip 707.0 MB
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Deep Learning Pytorch with Convolutional Neural Networks.zip 1.0 GB
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addison.wesley.professional.deep.learning.with.tensorflow.keras.and.pytorch.sneak.peak-ridware.r00 50.0 MB
addison.wesley.professional.deep.learning.with.tensorflow.keras.and.pytorch.sneak.peak-ridware.r01 50.0 MB
addison.wesley.professional.deep.learning.with.tensorflow.keras.and.pytorch.sneak.peak-ridware.r02 50.0 MB
addison.wesley.professional.deep.learning.with.tensorflow.keras.and.pytorch.sneak.peak-ridware.r03 50.0 MB
addison.wesley.professional.deep.learning.with.tensorflow.keras.and.pytorch.sneak.peak-ridware.r04 50.0 MB
addison.wesley.professional.deep.learning.with.tensorflow.keras.and.pytorch.sneak.peak-ridware.r05 50.0 MB
addison.wesley.professional.deep.learning.with.tensorflow.keras.and.pytorch.sneak.peak-ridware.r06 50.0 MB
addison.wesley.professional.deep.learning.with.tensorflow.keras.and.pytorch.sneak.peak-ridware.r07 50.0 MB
addison.wesley.professional.deep.learning.with.tensorflow.keras.and.pytorch.sneak.peak-ridware.r08 50.0 MB
addison.wesley.professional.deep.learning.with.tensorflow.keras.and.pytorch.sneak.peak-ridware.r09 50.0 MB
addison.wesley.professional.deep.learning.with.tensorflow.keras.and.pytorch.sneak.peak-ridware.r10 50.0 MB
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addison.wesley.professional.deep.learning.with.tensorflow.keras.and.pytorch.sneak.peak-ridware.r13 50.0 MB
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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
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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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