Natural language processing (NLP) is one of the most important technologies in machine learning. Understanding complex language is a crucial part of artificial intelligence (AI). The applications of NLP are almost everywhere, as we communicate mostly through language and store human knowledge mostly in language as well. This includes web searches, advertisements, emails, customer service, machine translation, and so on. Some of the hot research areas include language modeling (speech recognition, machine translation), word-sense learning and disambiguation, reasoning over knowledge bases, acoustic modeling, part-of-speech tagging, name-entity recognition, sentiment analysis, chatbot, question/answering, and others. Each of these tasks requires a deep understanding of the task or the application, as well as effective and fast machine learning models...
Deep Learning Essentials
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Deep Learning Essentials
By:
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)
Preface
Free Chapter
Why Deep Learning?
Getting Yourself Ready for Deep Learning
Getting Started with Neural Networks
Deep Learning in Computer Vision
NLP - Vector Representation
Advanced Natural Language Processing
Multimodality
Deep Reinforcement Learning
Deep Learning Hacks
Deep Learning Trends
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