Python Deep Learning Projects
- Paperback: 472 pages
- Publisher: WOW! eBook (October 31, 2018)
- Language: English
- ISBN-10: 1788997093
- ISBN-13: 978-1788997096
Python Deep Learning Projects: Insightful projects to master deep learning and neural network architectures using Python and Keras
Deep learning has been gradually revolutionizing every field of artificial intelligence, making application development easier.
This book imparts all the knowledge needed to implement complex deep learning projects in the field of computational linguistics and computer vision. Each of these projects is unique, helping you progressively master the subject. You’ll learn how to implement a text classifier system using a recurrent neural network (RNN) model and optimize it to understand the shortcomings you might experience while implementing a simple deep learning system.
Similarly, you’ll discover how to develop various projects, including word vector representation, open domain question answering, and building chatbots using seq-to-seq models and language modeling. In addition to this, you’ll cover advanced concepts, such as regularization, gradient clipping, gradient normalization, and bidirectional RNNs, through a series of engaging projects.
By the end of this book, you will have gained knowledge to develop your own deep learning systems in a straightforward way and in an efficient way.