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Deep Learning

2 Manuscripts, Deep Learning With Keras and Convolutional Neural Networks In Python
Narrated by: Jon Wilkins
Length: 5 hrs and 26 mins
Categories: Non-fiction, Technology
5 out of 5 stars (52 ratings)

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Summary

Deep Learning Two-Audiobook Bundle

Deep Learning with Keras 

Here is a preview of what you'll learn:  

  • 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!

Convolutional Neural Networks in Python

Here is a preview of what you'll learn:

  • Convolutional neural networks structure
  • How convolutional neural networks actually work
  • Convolutional neural networks applications
  • The importance of convolution operator
  • Different convolutional neural networks layers and their importance
  • Arrangement of spatial parameters
  • How and when to use stride and zero-padding
  • Method of parameter sharing
  • Matrix multiplication and its importance
  • Pooling and dense layers
  • Introducing non-linearity relu activation function
  • How to train your convolutional neural network models using backpropagation
  • How and why to apply dropout
  • CNN model training process
  • How to build a convolutional neural network
  • Generating predictions and calculating loss functions
  • How to train and evaluate your MNIST classifier
  • How to build a simple image classification CNN
  • And much more!

PLEASE NOTE: When you purchase this title, the accompanying PDF will be available in your Audible Library along with the audio.

©2018 Frank Millstein (P)2018 Frank Millstein

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    1 out of 5 stars
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    1 out of 5 stars

It just doesn’t work as an audiobook

I tried the sample online from audible and it seemed this book might actually work. However, having bought the thing, I discovered much to my chagrin that the narrator just reads out endless lines of Python code. It’s a pretty cheap narration too where the narrator refers to “casual” rather than *causal* effects. Sometimes he just gets confused a makes obvious mistakes and there isn’t any cut/splice/correcting of the dialogue. Maybe it works as a physical book but it fails miserably as an audiobook.

2 people found this helpful

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Code reading seems like robotic voice

The narrator reads code in a monotonic voice, with no intonation, I think it is text-to-speech technology. It even reads separator symbols as "29 equal signs" and other things. It is not done by a human, nor intended as an audiobook.

The accompanying pdf is incomplete, there are parts that the narrator "reads" that are not in the pdf. Making it even worse.

I put overall 2 star because the comments about the code seem reasonable. I will probably get a refund at some point, but will try to see if I can bear skipping the code parts and listening to the comments of the results of each architecture tested.

I believe the 5-star reviews are made by fake profiles.

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good balance


A well-designed book which is organized as a tour of different kinds of deep learning. The order in which the learners are treated is a little unusual, but it does a good job of bringing up the more abstract issues in a way that makes them easy to understand.

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the introduction to Keras,

If you are interesting in deep learning and have at least some machine learning education already, this book would be an excellent purchase to expand your knowledge.

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Provides hands-on examples with Keras

Finally, the introduction to Keras, a deep-learning framework for Python is outstanding. If you're looking into Keras (or one of the other deep learning frameworks) this book is a fantastic starting point!

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This is the best introduction to Deep Learning

Arguably, the best book on deep learning that's out there. Very clear explanation of material presented in orderly fashion. Buy it and you'll love it!

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Nice

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 listening this audio book.

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Intuitive and Comprehensive

If you already explored the field of deep learning, this is a great book to help take your exploration to the next level. I am able to use Keras more effectively to quickly try different architectures. It's great book and worth the spend.

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Deep learning with Python

Overall this book is more about practical techniques and python code (in Keras) than about deep learning math/theory. This is probably what the majority of readers are looking for. It's a great synthesis of the most important techniques now.

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it' s a 'professional start-up'

I finally really get what each of the parts of the training and optimization do. Also love the explanations in code instead of in mathematics. I feel I have a much better intuition about vectors than I did before.

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  • Arthur Dobelis
  • 15-03-19

This audio book is useless and almost ridiculous

60% if the book is a guy reading you Python modules in their entirety.

I have asked Audible for a refund.

1 person found this helpful

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  • Barbara
  • 03-06-18

Got me started programming with Keras

Deep learning, and only aimed to introduce you to Keras, I would have given it 5 stars. However, he's clearly targeting a wide audience and assuming no background knowledge, the book goes in too many directions at once and does a poor job in several.

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  • Lisa marry
  • 03-06-18

A detailed guide

The main issue with Deep Learning is that it requires a lot of experimentation. Just a basic example takes hours to train and to see it work. There are many applications of Deep Learning, and you can bet that adapting the tools to your needs is going to be a very thoughtful experience.

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  • Scaty
  • 03-06-18

It covers concepts as well as practical examples

It is a very useful book, presenting the deep learning techniques on various real-life examples, outlining exactly how to write a Python code to tackle them.

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  • sai
  • 02-06-18

very clear


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

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  • Abufarims
  • 01-06-18

informative book

That is really a good book. I read this book and i can learn so many things about Convolution Neural Networks. The author writes the whole basic things, rules and so many important tips.

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  • Anonymous User
  • 01-06-18

highly recommended

Deep Learning with Keras is a great resource to get hands-on Deep Learning experience using the Keras library in Python.
This is an extremely accommodating and helpful book for the beginners. From this book, you will find out about how convolutional neural systems really work.

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  • stib
  • 25-05-18

great overview


Fantastic introduction to deep learning for all levels. I've taken a few online courses in DL and ML, and this book is a great learning resource that offers thorough yet easy-to-understand explanations of complex concepts. Helpful visuals and hands-on examples to drive concepts home!

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  • Marcelino Cuevas
  • 25-05-18

deeep learning

if you have some patience and time, but it gets in the way of progressing through the book.
I recommend this as a good, short intro to deep learning.

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  • Anonymous User
  • 24-05-18

practical book

great information in this audio book. loved every second about to listen to it again. I'm very blessed to you make it feel like we are very special to the universe which we are. 💖