Robert Hack

Deep Learning Robert Hack

Everything You Need to Know About Deep LearningDo you want to know all about Deep Learning?Wondering what you need to get started with Deep Learning?You Are 1-Click Away From Knowing All About Deep Learning. Hello! Welcome to this guide to "The Ultimate Beginner's Guide To Artificial Intelligence And Neural Networks"

An understanding of deep learning begins with a precise definition of terms. Otherwise, you have a hard time separating the media hype from the realities of what deep learning can actually provide. Deep learning is part of both AI and machine learning. To understand deep learning, you must begin at the outside - that is, you start with AI, and then work your way through machine learning, and then finally define deep learning. This book would help you through this process. Why study Deep Learning

Has best-in-class performance on problems that significantly outperforms other solutions in multiple domains. This includes speech, language, vision, playing games like Go etc. This isn't by a little bit, but by a significant amount.

Reduces the need for feature engineering, one of the most time-consuming parts of machine learning practice.

Is an architecture that can be adapted to new problems relatively easily e.g. Vision, time series, language etc., are using techniques like convolutional neural networks, recurrent neural networks, long short-term memory etc.

Feature engineering can be automatically executed inside Deep Learning model

Can solve complex problems

flexible to be adapted to new challenge in the future (or transfer learning can be easily applied)

High automation. Deep learning library (Tensorflow, keras, or MATLAB...) can help users build a deep learning model in seconds (without the need of deep understanding)








More precisely, the book will teach you:

Introduction to Deep Learning

History of Deep Learning

Conceptual foundations

Neural Networks: The Building Blocks of Deep Learning

training deep networks

Convolutional and Recurrent Neural Networks

Learning Functions

The Future of Deep Learning

And so much more





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So, what are you waiting for? Buy now to join the millions of people already learning about Deep Learning!