译 文 : Deep Learning Quick Reference

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  • Deep learning quick reference
  • Zero, preface,
  • First, the foundation of deep learning
  • Use deep learning to solve regression problems
  • Use TensorBoard to monitor network training
  • 4. Use deep learning to solve dichotomous problems
  • 5. Use Keras to solve multiple classification problems
  • Sixth, hyperparameter optimization
  • Training CNN from the ground up
  • 8. Use pre-trained CNN for transfer learning
  • 9. Train RNN from scratch
  • Use word embedding to train LSTM from scratch
  • 11. Train Seq2Seq model
  • Deep reinforcement learning
  • Generation of adversarial networks

Introduction to the

The Deep Learning Quick Reference demonstrates a quick and practical way to use deep learning. It focuses on real-life problems and provides just enough theoretical and mathematical knowledge to deepen the reader’s understanding of the topic. Deep learning is an exciting, fast-paced branch of machine learning, but it’s also a place to be. This is an area where there is a lot of detailed and complex research going on every day, and it can be overwhelming. In this book, I focus on teaching you the skills to apply deep learning to a variety of practical problems. My greatest hope for this book is that it will give you the tools you need to solve machine learning problems using deep learning techniques.

Contribution to guide

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