Preface

Deep learning is the most disruptive trend in the tech world, having jumped out of research laboratories right into production environments. It is the science and art of working through hidden layers of data to get deep insights. Deep learning is currently one of the best providers of solutions to problems in image recognition, speech recognition, object recognition, and natural language processing (NLP).

We’ll start off by brushing up on machine learning and quickly get into the fundamentals of deep learning and its implementation. Moving on, we’ll teach you about the different types of neural networks and their applications in the real world. With the help of insightful examples, you’ll learn to recognize patterns using a deep neural network and get to know other important concepts such as data manipulation and classification.

Using the reinforcement learning technique with deep learning, you’ll build AI that can outperform any human and also work with the LSTM network. During the course of this book, you will come across a wide range of different frameworks and libraries, such as TensorFlow, Python, Nvidia, and others. By the end of the book, you’ll be able to deploy a production-ready deep learning framework for your own applications.