Table of Contents
Preface
Section 1: PyTorch Overview
Chapter 1: Overview of Deep Learning using PyTorch
Technical requirements
A refresher on deep learning
Activation functions
Optimization schedule
Exploring the PyTorch library
PyTorch modules
Tensor modules
Training a neural network using PyTorch
Summary
Chapter 2: Combining CNNs and LSTMs
Technical requirements
Building a neural network with CNNs and LSTMs
Text encoding demo
Building an image caption generator using PyTorch
Downloading the image captioning datasets
Preprocessing caption (text) data
Preprocessing image data
Defining the image captioning data loader
Defining the CNN-LSTM model
Training the CNN-LSTM model
Generating image captions using the trained model
Summary
Section 2: ...
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