[FreeCoursesOnline.Me] [Packt] PyTorch Deep Learning in 7 Days [FCO]
File List
- 02.Building a Neural Network/0205.Building a Network with nn.Module.mp4 137.3 MB
- 01.Getting started with PyTorch/0104.Tensors and Basic Tensor Operations.mp4 129.1 MB
- 03.Regression and Classification/0304.Loading Structured Data for Regression.mp4 107.1 MB
- 03.Regression and Classification/0301.Loading Structured Data for Classification.mp4 97.3 MB
- 02.Building a Neural Network/0202.Creating a Neural Network with PyTorch Sequential.mp4 80.4 MB
- 03.Regression and Classification/0302.Preprocessing Data.mp4 80.2 MB
- 03.Regression and Classification/0305.Neural Networks for Regression.mp4 74.9 MB
- 02.Building a Neural Network/0203.Activations, Loss Functions, and Gradients.mp4 73.7 MB
- 02.Building a Neural Network/0204.Forward and Backward Passes.mp4 69.8 MB
- 07.Deep Convolutional Generative Adversarial Networks/0704.Improving Performance.mp4 37.9 MB
- 07.Deep Convolutional Generative Adversarial Networks/0703.Training and Evaluating DCGAN on an Image Dataset.mp4 33.0 MB
- 01.Getting started with PyTorch/0102.Quick Intro to PyTorch.mp4 31.8 MB
- 01.Getting started with PyTorch/0105.Advanced Tensor Operations.mp4 26.7 MB
- 06.LSTM and Embedding for Natural Language Models/0604.Sentiment Analysis with Word Embeddings.mp4 25.7 MB
- 05.Implementing Transfer Learning/0504.Transfer Learning with ResNet.mp4 24.4 MB
- 01.Getting started with PyTorch/0101.The Course overview.mp4 23.5 MB
- 03.Regression and Classification/0303.Classification, Accuracy, and the Confusion Matrix.mp4 18.4 MB
- 07.Deep Convolutional Generative Adversarial Networks/0701.Introduction to GANs and DCGANs.mp4 18.3 MB
- 07.Deep Convolutional Generative Adversarial Networks/0705.Assignment.mp4 18.2 MB
- 06.LSTM and Embedding for Natural Language Models/0603.Sentiment Analysis with Bag-of-Words.mp4 16.1 MB
- 05.Implementing Transfer Learning/0503.Transfer Learning with VGG.mp4 15.6 MB
- 01.Getting started with PyTorch/0106.Loading and Saving Data.mp4 15.1 MB
- 07.Deep Convolutional Generative Adversarial Networks/0702.Implementing DCGAN Model with PyTorch.mp4 14.5 MB
- 04.Implementing Convolutional Neural Networks/0404.Visualizing Convolutional Network Layers.mp4 14.2 MB
- 01.Getting started with PyTorch/0103.Installation and Jupyter Notebook Setup.mp4 13.9 MB
- 02.Building a Neural Network/0201.Introduction to Neural Networks.mp4 13.6 MB
- 04.Implementing Convolutional Neural Networks/0403.Implementing a Convolutional Network.mp4 13.1 MB
- 04.Implementing Convolutional Neural Networks/0405.Implementing an End-To-End Deep Convolutional Network.mp4 13.1 MB
- 04.Implementing Convolutional Neural Networks/0401.Convolutional Networks for Image Analysis.mp4 12.3 MB
- 05.Implementing Transfer Learning/0502.Deep Learning with VGG.mp4 11.4 MB
- 06.LSTM and Embedding for Natural Language Models/0601.Recurrent Networks, RNN, and LSTM, GRU.mp4 8.3 MB
- 06.LSTM and Embedding for Natural Language Models/0602.Text Modeling with Bag-of-Words.mp4 7.9 MB
- 04.Implementing Convolutional Neural Networks/0402.Convolutional Concepts Filters, Strides, Padding, and Pooling.mp4 5.9 MB
- 05.Implementing Transfer Learning/0501.Transfer Learning and Prebuilt Models.mp4 5.4 MB
- 01.Getting started with PyTorch/0107.Assignment.mp4 4.1 MB
- 02.Building a Neural Network/0206.Assignment.mp4 3.0 MB
- 03.Regression and Classification/0306.Assignment.mp4 2.3 MB
- 05.Implementing Transfer Learning/0505.Assignment.mp4 902.6 KB
- Exercise Files/exercise_files.zip 813.0 KB
- 06.LSTM and Embedding for Natural Language Models/0605.Assignment.mp4 631.7 KB
- 04.Implementing Convolutional Neural Networks/0406.Assignment.mp4 513.7 KB
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