Most of the concepts that we learned in the book form the foundation of modern applications that are powered by deep learning. In this section, we will look at the different interesting projects that we can do that are related to computer vision and natural language processing (NLP).
- Title Page
- Copyright and Credits
- Dedication
- Packt Upsell
- Foreword
- Contributors
- Preface
- Getting Started with Deep Learning Using PyTorch
- Building Blocks of Neural Networks
- Diving Deep into Neural Networks
- Fundamentals of Machine Learning
- Deep Learning for Computer Vision
- Deep Learning with Sequence Data and Text
- Generative Networks
- Neural style transfer 
- Generative adversarial networks
- Deep convolutional GAN
- Language modeling 
- Summary
- Modern Network Architectures
- What Next?
- Other Books You May Enjoy
Interesting ideas to explore
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