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 described the core concepts of a convolutional neural network in more detail. We provided a summarized history of the CNN and how it originated. We covered the basics of CNNs, ranging from network architecture, layers, loss function, and regularization techniques. We also outlined practical recommendations for each of these concepts and also illustrated how to implement a simple digit classification system using TensorFlow. We also outlined how to use a pre-trained model for a custom application development. Finally, we illustrated popular CNN architectures that often serve as the initial choice of developers for any computer vision task. In next chapter, we will look at how deep learning techniques are applied to the field of natural language processing.