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Publisher's Summary

This audiobook will introduce you to various supervised and unsupervised deep learning algorithms like the multilayer perceptron, linear regression, and other more advanced deep convolutional and recurrent neural networks. You will also learn about image processing, handwritten recognition, object recognition, and much more.

Furthermore, you will get familiar with recurrent neural networks like LSTM and GAN as you explore processing sequence data like time series, text, and audio.

The audiobook will definitely be your best companion on this great deep learning journey with Keras, introducing you to the basics you need to know in order to take next steps and learn more advanced deep neural networks.

Here is a preview of what you'll learn here....

  • The difference between deep learning and machine learning
  • Deep neural networks
  • Convolutional neural networks
  • Building deep learning models with Keras
  • Multi-layer perceptron network models
  • Activation functions
  • Handwritten recognition using MNIST
  • Solving multi-class classification problems
  • Recurrent neural networks and sequence classification
  • And much more....

Get this audiobook now and learn more about deep learning with Keras!

©2018 Frank Millstein (P)2018 Frank Millstein

What members say

Average Customer Ratings

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  • 4.5 out of 5 stars
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  • Overall
    5 out of 5 stars
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    5 out of 5 stars

constructive model

Very well explained from a practical perspective of those actually creating the models. The book really teaches one how they should think when constructing these models

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    5 out of 5 stars
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very deep learning

It is a great book to learn how to use a Java based platform for deep learning.

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    4 out of 5 stars
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    4 out of 5 stars

I have to commend this

A data scientist here and ready to commend this book. Clearly, the author is a pro. While the book may focus on the advance concepts it didn’t fail its readers to present the basic briefly.

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    4 out of 5 stars
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    4 out of 5 stars
  • NJ
  • 04-05-18

The guide that I've been searching for.

I’m beginning to appreciate deep learning more. It has given an elaborate discussion on the techniques. This is what I was looking for.

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    5 out of 5 stars
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good

This book is not the book I was looking for. It is more of a literature survey type for people who want to do research in the subject rather than learning the techniques to solve real world problems

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    5 out of 5 stars
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good what i expected

This book will Answer all the questions you may have to get started and as reference for deep learning. in this domain and some pretty advanced topics. Make sure your linear algebra understanding is solid

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    5 out of 5 stars
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    4 out of 5 stars
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very comprehensive

Very clear exposition, does the math without getting lost in the details. Although many of the concepts of the introductorye, they are presented with remarkable cut-to-the-chase clarity

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    4 out of 5 stars
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    4 out of 5 stars

It's brief but concise audiobook.

I can’t wait to be a deep learning coder from scratch with the tips compounded in this piece. I will be implementing the deep learning methods I’ve heard from this book this weekend during my leisure time. Although I have yet to learn more, I’m proud of what I’ve understood from this brief but concise audiobook.

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interetsing

The text does a very good job of informing the reader what has been done and was is being done for neural networks. In addition it provides experienced gained by various researchers .........

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easy understand

It provides needed mathematical background and shines light on both cutting-edge researches and history of machine learning, allowing anyone to fully understand the subject.

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  • Ajmal
  • 04-09-18

Valuable information

I am glad to examine this book, this was amazingly shocking. This book contains straightforward and disposition tips. it is valuable for beginner.

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    5 out of 5 stars
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    5 out of 5 stars
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    5 out of 5 stars
  • Jamsheer
  • 04-09-18

Good Start

An incredibly insightful, enlightening and educational book on everything around us and everything we know about deep learning with keras.

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    5 out of 5 stars
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  • Ola
  • 04-09-18

to my listeners

I've been listening to my book on Audible and have to pause at times to take notes, then replay it to make sure I absorb the information again. It's just that good.

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    5 out of 5 stars
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  • Emilio
  • 04-09-18

Amazing

Amazing really interesting and my rate it 5/5 because it was really good and was written like a classic.

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    5 out of 5 stars
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  • Abu
  • 04-09-18

Wonderful book

Wonderful book! This kept my interest from beginning to end. Would love to see more from this author.

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    5 out of 5 stars
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  • thoshik
  • 04-09-18

very informative

This book is very informative and easy to understand. The book is well explained and the presentation is sequential, great for anyone who wants to understand the theme.

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    5 out of 5 stars
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  • fairy
  • 04-05-18

looking for


Overall this book is more about practical techniques and python code than about deep learning math/theory. This is probably what the majority of listeners are looking for.

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    5 out of 5 stars
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  • marrani
  • 04-05-18

fantastic guide


One of the best Deep Learning books! For beginners, the theoretical explanations might seem somewhat insufficient, but, the practical parts are the best. You can be able to build your own networks easily after having this book.

  • Overall
    4 out of 5 stars
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    4 out of 5 stars
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    5 out of 5 stars
  • john
  • 04-05-18

next level

if you already explored the field of deep learning, this is a great book to help take your exploration to the next level

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    5 out of 5 stars
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  • femi
  • 04-05-18

worthful purchase

The author provides that explanation but also adds his perspective on neural networks and valuable insights and historical context. I don't think you get a depth of understanding for neural networks from the book