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Learn, Revise, and Recap several important deep learning concepts, key terms, and algorithms ranging from a feedforward neural network to generative adversarial networks and many more.
Why should you get this book?
- A perfectly designed pocket reference guide to learn and revise deep learning at any time, anywhere.
- This guide comes in handy for a quick reference during work and also for preparing deep learning interviews.
- The book includes cool animated characters and keeps you engaged.
Book description
This book, Deep Learning Pocket Reference Guide walks you through a collection of the most important deep learning algorithms, key concepts, terms, and terminologies. This book can be used for quickly learning, revising, and recapping deep learning concepts. You will learn and revise deep learning algorithms like artificial neural networks, recurrent neural networks, convolutional networks, generative adversarial networks, autoencoders, and many others. You will also look into concepts like weight initialization, batch normalization, drop out, learning rate scheduling, and many more.
Is it the right book for you?
If you already know deep learning and want to quickly revise and recap deep learning algorithms then this is the perfect book for you. When you are preparing for a deep learning interview or stuck at work, this book comes in handy for quickly going through all the deep learning concepts.
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