Book Image

Deep Learning Essentials

By : Wei Di, Jianing Wei, Anurag Bhardwaj
3 (1)
Book Image

Deep Learning Essentials

3 (1)
By: Wei Di, Jianing Wei, Anurag Bhardwaj

Overview of this book

Deep Learning a trending topic in the field of Artificial Intelligence today and can be considered to be an advanced form of machine learning. This book will help you take your first steps in training efficient deep learning models and applying them in various practical scenarios. You will model, train, and deploy different kinds of neural networks such as CNN, RNN, and will see some of their applications in real-world domains including computer vision, natural language processing, speech recognition, and so on. You will build practical projects such as chatbots, implement reinforcement learning to build smart games, and develop expert systems for image captioning and processing using Python library such as TensorFlow. This book also covers solutions for different problems you might come across while training models, such as noisy datasets, and small datasets. By the end of this book, you will have a firm understanding of the basics of deep learning and neural network modeling, along with their practical applications.
Table of Contents (12 chapters)

Novel applications

So far in this book, we have seen numerous applications of deep learning in areas of text mining, computer vision, and multi-model learning. However, the ability to learn powerful, generalized representations of data has led to a recent surge in the number of new application domains for deep learning. These application areas range from healthcare, to software engineering, to computer systems organizations. In this section, we will look at some of the interesting novel applications of deep learning in these domains.

Genomics

One of the interesting application areas of deep learning is genomics, where advanced CNN models are used to learn structure from large and high-dimensional DNA datasets. One of the...