Deep Learning Essentials
Deep Learning is one of the trending topics 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 when it comes to training efficient deep learning models, and apply them in various practical scenarios. You will model, train and deploy different kinds of neural networks such as Convolutional Neural Network, Recurrent Neural Network, and see their applications in real-world domains such as computer vision, natural language processing, and speech recognition. This book also covers solutions to tackle different problems you might come across while training your models and ensure their high performance. This book does not assume any prior knowledge of deep learning. 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.
Offered by
Difficulty Level
Intermediate
Completion Time
9h28m
Language
English
About Book
Who Is This Book For?
Aspiring data scientists and machine learning experts who have limited or no exposure to deep learning will find this book to be very useful. If you are looking for a resource that gets you up and running with the fundamentals of deep learning and neural networks, this book is for you. As the models in the book are trained using the popular Python-based libraries such as Tensorflow and Keras, it would be useful to have sound programming knowledge of Python.
Deep Learning Essentials
- About Book
- Who Is This Book For?
- Book Content
Book content
chapters • 9h28m total length
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
Related Resources
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