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)

Deep learning for text

We have seen various different techniques so far, which employ variants of neural networks for text processing. Word-based embedding is one such common application of neural networks. As seen in the previous chapter, word-based embedding techniques are feature-level, or representation learning, problems. In other words, they solve a very specific problem: Given a text block, represent it in some feature form that is used for a downstream text mining application, such as classification, machine translation, attribute labeling, and so on. A number of machine learning techniques exist today that can apply text mining at varying accuracy levels. In this chapter, we focus on an entirely different model of text processing. We look into the core deep learning models that are suited to text processing applications and can perform both:

  • Representation learning or...