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

02.Building a Neural Network/0205.Building a Network with nn.Module.mp4

01.Getting started with PyTorch/0104.Tensors and Basic Tensor Operations.mp4

03.Regression and Classification/0304.Loading Structured Data for Regression.mp4

03.Regression and Classification/0301.Loading Structured Data for Classification.mp4

02.Building a Neural Network/0202.Creating a Neural Network with PyTorch Sequential.mp4

03.Regression and Classification/0302.Preprocessing Data.mp4

03.Regression and Classification/0305.Neural Networks for Regression.mp4

02.Building a Neural Network/0203.Activations, Loss Functions, and Gradients.mp4

02.Building a Neural Network/0204.Forward and Backward Passes.mp4

07.Deep Convolutional Generative Adversarial Networks/0704.Improving Performance.mp4

07.Deep Convolutional Generative Adversarial Networks/0703.Training and Evaluating DCGAN on an Image Dataset.mp4

01.Getting started with PyTorch/0102.Quick Intro to PyTorch.mp4

01.Getting started with PyTorch/0105.Advanced Tensor Operations.mp4

06.LSTM and Embedding for Natural Language Models/0604.Sentiment Analysis with Word Embeddings.mp4

05.Implementing Transfer Learning/0504.Transfer Learning with ResNet.mp4

01.Getting started with PyTorch/0101.The Course overview.mp4

03.Regression and Classification/0303.Classification, Accuracy, and the Confusion Matrix.mp4

07.Deep Convolutional Generative Adversarial Networks/0701.Introduction to GANs and DCGANs.mp4

07.Deep Convolutional Generative Adversarial Networks/0705.Assignment.mp4

06.LSTM and Embedding for Natural Language Models/0603.Sentiment Analysis with Bag-of-Words.mp4

05.Implementing Transfer Learning/0503.Transfer Learning with VGG.mp4

01.Getting started with PyTorch/0106.Loading and Saving Data.mp4

07.Deep Convolutional Generative Adversarial Networks/0702.Implementing DCGAN Model with PyTorch.mp4

04.Implementing Convolutional Neural Networks/0404.Visualizing Convolutional Network Layers.mp4

01.Getting started with PyTorch/0103.Installation and Jupyter Notebook Setup.mp4

02.Building a Neural Network/0201.Introduction to Neural Networks.mp4

04.Implementing Convolutional Neural Networks/0403.Implementing a Convolutional Network.mp4

04.Implementing Convolutional Neural Networks/0405.Implementing an End-To-End Deep Convolutional Network.mp4

04.Implementing Convolutional Neural Networks/0401.Convolutional Networks for Image Analysis.mp4

05.Implementing Transfer Learning/0502.Deep Learning with VGG.mp4

06.LSTM and Embedding for Natural Language Models/0601.Recurrent Networks, RNN, and LSTM, GRU.mp4

06.LSTM and Embedding for Natural Language Models/0602.Text Modeling with Bag-of-Words.mp4

04.Implementing Convolutional Neural Networks/0402.Convolutional Concepts Filters, Strides, Padding, and Pooling.mp4

05.Implementing Transfer Learning/0501.Transfer Learning and Prebuilt Models.mp4

01.Getting started with PyTorch/0107.Assignment.mp4

02.Building a Neural Network/0206.Assignment.mp4

03.Regression and Classification/0306.Assignment.mp4

05.Implementing Transfer Learning/0505.Assignment.mp4

Exercise Files/exercise_files.zip

06.LSTM and Embedding for Natural Language Models/0605.Assignment.mp4

04.Implementing Convolutional Neural Networks/0406.Assignment.mp4

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