---
product_id: 32150282
title: "Getting Started with TensorFlow"
price: "319 zł"
currency: PLN
in_stock: false
reviews_count: 11
url: https://www.desertcart.pl/products/32150282-getting-started-with-tensorflow
store_origin: PL
region: Poland
---

# Getting Started with TensorFlow

**Price:** 319 zł
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- **What is this?** Getting Started with TensorFlow
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Getting Started with TensorFlow [Zaccone, Giancarlo] on desertcart.com. *FREE* shipping on qualifying offers. Getting Started with TensorFlow

Review: Mostly stuff you already know - Should've listened to the other review -- this book was definitely rushed. A solid 15-20% of the book is an overview of python and programming in general, another 20-30% covering basic math in tensorflow, and another 30% or so on a high level overview on what machine learning is. Is anyone who would buy a book on TensorFlow in need of an overview of any of these topics? The remainder of the book is dedicated to walking through examples that are readily available through the existing free resources / docs. This book was a cash grab -- don't fall for it.
Review: Something to offer; written hastily - This book doesn't add much to what's already available in terms of online tutorials on TensorFlow, directly from Google - and its beginning to get outdated quickly as TensorFlow is rapidly evolving, which means some of the code examples are broken now for the latest TF versions! I was disappointed that on the neural networks front, there are only three examples: (1) a single layer network, (2) an MLP, and (3) a two layer deep CNN, all trained/tested on MNIST. There isn't even one decent example on RNNs or LSTMs. Rather the book just points you to a piece of code available online, which actually seems to employ some higher-level third party library. Well, I could have found online examples for RNN/LSTM myself - why am I buying this book for? Also there is no realistic example on using TensorBoard, there's just a "Hello World!" level example which is not employed for any kind of machine learning example. I still give the book three stars, because I presume that it holds some value for a complete beginner to machine learning. It does offer quite a few non-neural network examples with TensorFlow, which while being useless for me (a PhD in ML), might be useful for a newbie.

## Technical Specifications

| Specification | Value |
|---------------|-------|
| Best Sellers Rank | #9,787,705 in Books ( See Top 100 in Books ) #2,533 in Computer Vision & Pattern Recognition #5,505 in Data Processing #9,426 in Artificial Intelligence (Books) |
| Customer Reviews | 3.0 3.0 out of 5 stars (22) |
| Dimensions  | 7.5 x 0.41 x 9.25 inches |
| Edition  | First Edition |
| ISBN-10  | 1786468573 |
| ISBN-13  | 978-1786468574 |
| Item Weight  | 12.8 ounces |
| Language  | English |
| Print length  | 180 pages |
| Publication date  | July 29, 2016 |
| Publisher  | Packt Publishing |

## Images

![Getting Started with TensorFlow - Image 1](https://m.media-amazon.com/images/I/71CYNVNtquL.jpg)

## Customer Reviews

### ⭐ Mostly stuff you already know
*by G***N on October 24, 2016*

Should've listened to the other review -- this book was definitely rushed. A solid 15-20% of the book is an overview of python and programming in general, another 20-30% covering basic math in tensorflow, and another 30% or so on a high level overview on what machine learning is. Is anyone who would buy a book on TensorFlow in need of an overview of any of these topics? The remainder of the book is dedicated to walking through examples that are readily available through the existing free resources / docs. This book was a cash grab -- don't fall for it.

### ⭐⭐⭐ Something to offer; written hastily
*by A***S on May 3, 2017*

This book doesn't add much to what's already available in terms of online tutorials on TensorFlow, directly from Google - and its beginning to get outdated quickly as TensorFlow is rapidly evolving, which means some of the code examples are broken now for the latest TF versions! I was disappointed that on the neural networks front, there are only three examples: (1) a single layer network, (2) an MLP, and (3) a two layer deep CNN, all trained/tested on MNIST. There isn't even one decent example on RNNs or LSTMs. Rather the book just points you to a piece of code available online, which actually seems to employ some higher-level third party library. Well, I could have found online examples for RNN/LSTM myself - why am I buying this book for? Also there is no realistic example on using TensorBoard, there's just a "Hello World!" level example which is not employed for any kind of machine learning example. I still give the book three stars, because I presume that it holds some value for a complete beginner to machine learning. It does offer quite a few non-neural network examples with TensorFlow, which while being useless for me (a PhD in ML), might be useful for a newbie.

### ⭐⭐⭐ TypeError: 'Tensor' object is not iterable
*by L***P on June 4, 2017*

Note that as of Tensorflow 0.7, I would have given this 5 stars. Unfortunately, the code in the book is out of date with TF 1.2 out now and examples only in python 2.7. I'm sure a python expert wouldn't care about that though. The style of the book is a "cookbook" for beginners. It gives very brief explanations for each line of code. In my case, I wanted to do regression and function approximation. This is one of two books I've seen cover this so far (both from the same publisher, but different authors). Anyways, I went to run the code and I get errors because I'm using TF 1.1. If you can fix this, maybe it will help you. I'm moving to other books to see if I can make this example work. TypeError: 'Tensor' object is not iterable

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*Last updated: 2026-03-16*