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)

Summary

In this chapter, we have summarized key concepts required to get started with the real-world implementation of deep learning systems. We described core concepts from linear algebra that are central to understanding the foundations of deep learning technology. We provide a hardware guide to deep learning by covering various aspects of GPU-based implementation and what is a right hardware choice for application developers. We outline a list of most popular deep learning software frameworks that exist today and provide a feature-level parity as well as a performance benchmark for them. Finally, we demonstrate how to set up a cloud-based deep learning application on AWS.

In the next chapter, we will introduce neural networks and outline a self-start module to understanding them in greater details.