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种子名称： [FreeCoursesOnline.Me] [Packt] PyTorch Deep Learning in 7 Days [FCO]
文件类型： 视频
文件数目： 40个文件
文件大小： 1.27 GB
收录时间： 2019-6-28 09:27
已经下载： 3次
资源热度： 137
最近下载： 2024-12-20 20:20

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[FreeCoursesOnline.Me] [Packt] PyTorch Deep Learning in 7 Days [FCO].torrent

01.Getting started with PyTorch/0101.The Course overview.mp423.54MB

01.Getting started with PyTorch/0102.Quick Intro to PyTorch.mp431.78MB

01.Getting started with PyTorch/0103.Installation and Jupyter Notebook Setup.mp413.89MB

01.Getting started with PyTorch/0104.Tensors and Basic Tensor Operations.mp4129.13MB

01.Getting started with PyTorch/0105.Advanced Tensor Operations.mp426.74MB

01.Getting started with PyTorch/0106.Loading and Saving Data.mp415.11MB

01.Getting started with PyTorch/0107.Assignment.mp44.08MB

02.Building a Neural Network/0201.Introduction to Neural Networks.mp413.58MB

02.Building a Neural Network/0202.Creating a Neural Network with PyTorch Sequential.mp480.42MB

02.Building a Neural Network/0203.Activations, Loss Functions, and Gradients.mp473.73MB

02.Building a Neural Network/0204.Forward and Backward Passes.mp469.76MB

02.Building a Neural Network/0205.Building a Network with nn.Module.mp4137.26MB

02.Building a Neural Network/0206.Assignment.mp42.98MB

03.Regression and Classification/0301.Loading Structured Data for Classification.mp497.33MB

03.Regression and Classification/0302.Preprocessing Data.mp480.24MB

03.Regression and Classification/0303.Classification, Accuracy, and the Confusion Matrix.mp418.35MB

03.Regression and Classification/0304.Loading Structured Data for Regression.mp4107.09MB

03.Regression and Classification/0305.Neural Networks for Regression.mp474.95MB

03.Regression and Classification/0306.Assignment.mp42.28MB

04.Implementing Convolutional Neural Networks/0401.Convolutional Networks for Image Analysis.mp412.3MB

04.Implementing Convolutional Neural Networks/0402.Convolutional Concepts Filters, Strides, Padding, and Pooling.mp45.94MB

04.Implementing Convolutional Neural Networks/0403.Implementing a Convolutional Network.mp413.13MB

04.Implementing Convolutional Neural Networks/0404.Visualizing Convolutional Network Layers.mp414.16MB

04.Implementing Convolutional Neural Networks/0405.Implementing an End-To-End Deep Convolutional Network.mp413.06MB

04.Implementing Convolutional Neural Networks/0406.Assignment.mp4513.72KB

05.Implementing Transfer Learning/0501.Transfer Learning and Prebuilt Models.mp45.44MB

05.Implementing Transfer Learning/0502.Deep Learning with VGG.mp411.39MB

05.Implementing Transfer Learning/0503.Transfer Learning with VGG.mp415.63MB

05.Implementing Transfer Learning/0504.Transfer Learning with ResNet.mp424.38MB

05.Implementing Transfer Learning/0505.Assignment.mp4902.64KB

06.LSTM and Embedding for Natural Language Models/0601.Recurrent Networks, RNN, and LSTM, GRU.mp48.32MB

06.LSTM and Embedding for Natural Language Models/0602.Text Modeling with Bag-of-Words.mp47.88MB

06.LSTM and Embedding for Natural Language Models/0603.Sentiment Analysis with Bag-of-Words.mp416.05MB

06.LSTM and Embedding for Natural Language Models/0604.Sentiment Analysis with Word Embeddings.mp425.73MB

06.LSTM and Embedding for Natural Language Models/0605.Assignment.mp4631.75KB

07.Deep Convolutional Generative Adversarial Networks/0701.Introduction to GANs and DCGANs.mp418.27MB

07.Deep Convolutional Generative Adversarial Networks/0702.Implementing DCGAN Model with PyTorch.mp414.51MB

07.Deep Convolutional Generative Adversarial Networks/0703.Training and Evaluating DCGAN on an Image Dataset.mp433.02MB

07.Deep Convolutional Generative Adversarial Networks/0704.Improving Performance.mp437.91MB

07.Deep Convolutional Generative Adversarial Networks/0705.Assignment.mp418.17MB