Deep Learning Engineer

Introduction

Welcome to the introductory training book on Deep learning Engineer! This program is designed to equip you with the fundamental knowledge and skills needed to excel in this rapidly growing field. With the explosion of data and advancements in computing power, Deep learning has emerged as a powerful tool for solving complex problems across various industries such as healthcare, finance, and technology.

Throughout this book, you will learn about the principles and applications of Deep learning, a subset of machine learning that uses artificial neural networks to mimic the human brain’s ability to process information. You will also have access to firsthand exercises and projects that will allow you to apply your newly acquired knowledge in practical scenarios.

The book is structured to provide a comprehensive understanding of Deep learning concepts, starting from the basics, and gradually moving towards more advanced topics. We will cover essential concepts such as neural network architecture, gradient descent optimization, regularization techniques, and backpropagation. Additionally, we will delve into several types of deep neural networks like Convolutional Neural Networks (CNNs) for image recognition and Recurrent Neural Networks (RNNs) for sequential data analysis.