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What is the digital copy I get with my Print order?

When you buy any Print edition of our Books, you can redeem (for free) the eBook edition of the Print Book you’ve purchased. This gives you instant access to your book when you make an order via PDF, EPUB or our online Reader experience.

What is the delivery time and cost of print book?

Shipping Details

USA:

Economy: Delivery to most addresses in the US within 10-15 business days

Premium: Trackable Delivery to most addresses in the US within 3-8 business days

UK:

Economy: Delivery to most addresses in the U.K. within 7-9 business days.
Shipments are not trackable

Premium: Trackable delivery to most addresses in the U.K. within 3-4 business days!
Add one extra business day for deliveries to Northern Ireland and Scottish Highlands and islands

EU:

Premium: Trackable delivery to most EU destinations within 4-9 business days.

Australia:

Economy: Can deliver to P. O. Boxes and private residences.
Trackable service with delivery to addresses in Australia only.
Delivery time ranges from 7-9 business days for VIC and 8-10 business days for Interstate metro
Delivery time is up to 15 business days for remote areas of WA, NT & QLD.

Premium: Delivery to addresses in Australia only
Trackable delivery to most P. O. Boxes and private residences in Australia within 4-5 days based on the distance to a destination following dispatch.

India:

Premium: Delivery to most Indian addresses within 5-6 business days

Rest of the World:

Premium: Countries in the American continent: Trackable delivery to most countries within 4-7 business days

Asia:

Premium: Delivery to most Asian addresses within 5-9 business days

Disclaimer:
All orders received before 5 PM U.K time would start printing from the next business day. So the estimated delivery times start from the next day as well. Orders received after 5 PM U.K time (in our internal systems) on a business day or anytime on the weekend will begin printing the second to next business day. For example, an order placed at 11 AM today will begin printing tomorrow, whereas an order placed at 9 PM tonight will begin printing the day after tomorrow.

Unfortunately, due to several restrictions, we are unable to ship to the following countries:

Afghanistan
American Samoa
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The Democratic Republic of Congo
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What is custom duty/charge?

Customs duty are charges levied on goods when they cross international borders. It is a tax that is imposed on imported goods. These duties are charged by special authorities and bodies created by local governments and are meant to protect local industries, economies, and businesses.

Do I have to pay customs charges for the print book order?

The orders shipped to the countries that are listed under EU27 will not bear custom charges. They are paid by Packt as part of the order.

List of EU27 countries: www.gov.uk/eu-eea:

A custom duty or localized taxes may be applicable on the shipment and would be charged by the recipient country outside of the EU27 which should be paid by the customer and these duties are not included in the shipping charges been charged on the order.

How do I know my custom duty charges?

The amount of duty payable varies greatly depending on the imported goods, the country of origin and several other factors like the total invoice amount or dimensions like weight, and other such criteria applicable in your country.

For example:

If you live in Mexico, and the declared value of your ordered items is over $ 50, for you to receive a package, you will have to pay additional import tax of 19% which will be $ 9.50 to the courier service.
Whereas if you live in Turkey, and the declared value of your ordered items is over € 22, for you to receive a package, you will have to pay additional import tax of 18% which will be € 3.96 to the courier service.

How can I cancel my order?

Cancellation Policy for Published Printed Books:

You can cancel any order within 1 hour of placing the order. Simply contact customercare@packt.com with your order details or payment transaction id. If your order has already started the shipment process, we will do our best to stop it. However, if it is already on the way to you then when you receive it, you can contact us at customercare@packt.com using the returns and refund process.

Please understand that Packt Publishing cannot provide refunds or cancel any order except for the cases described in our Return Policy (i.e. Packt Publishing agrees to replace your printed book because it arrives damaged or material defect in book), Packt Publishing will not accept returns.

What is your returns and refunds policy?

Return Policy:

We want you to be happy with your purchase from Packtpub.com. We will not hassle you with returning print books to us. If the print book you receive from us is incorrect, damaged, doesn't work or is unacceptably late, please contact Customer Relations Team on customercare@packt.com with the order number and issue details as explained below:

If you ordered (eBook, Video or Print Book) incorrectly or accidentally, please contact Customer Relations Team on customercare@packt.com within one hour of placing the order and we will replace/refund you the item cost.
Sadly, if your eBook or Video file is faulty or a fault occurs during the eBook or Video being made available to you, i.e. during download then you should contact Customer Relations Team within 14 days of purchase on customercare@packt.com who will be able to resolve this issue for you.
You will have a choice of replacement or refund of the problem items.(damaged, defective or incorrect)
Once Customer Care Team confirms that you will be refunded, you should receive the refund within 10 to 12 working days.
If you are only requesting a refund of one book from a multiple order, then we will refund you the appropriate single item.
Where the items were shipped under a free shipping offer, there will be no shipping costs to refund.

On the off chance your printed book arrives damaged, with book material defect, contact our Customer Relation Team on customercare@packt.com within 14 days of receipt of the book with appropriate evidence of damage and we will work with you to secure a replacement copy, if necessary. Please note that each printed book you order from us is individually made by Packt's professional book-printing partner which is on a print-on-demand basis.

What tax is charged?

Currently, no tax is charged on the purchase of any print book (subject to change based on the laws and regulations). A localized VAT fee is charged only to our European and UK customers on eBooks, Video and subscriptions that they buy. GST is charged to Indian customers for eBooks and video purchases.

What payment methods can I use?

You can pay with the following card types:

Visa Debit
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What is the delivery time and cost of print books?

Shipping Details

USA:

Economy: Delivery to most addresses in the US within 10-15 business days

Premium: Trackable Delivery to most addresses in the US within 3-8 business days

UK:

Economy: Delivery to most addresses in the U.K. within 7-9 business days.
Shipments are not trackable

Premium: Trackable delivery to most addresses in the U.K. within 3-4 business days!
Add one extra business day for deliveries to Northern Ireland and Scottish Highlands and islands

EU:

Premium: Trackable delivery to most EU destinations within 4-9 business days.

Australia:

India:

Premium: Delivery to most Indian addresses within 5-6 business days

Rest of the World:

Premium: Countries in the American continent: Trackable delivery to most countries within 4-7 business days

Asia:

Premium: Delivery to most Asian addresses within 5-9 business days

Unfortunately, due to several restrictions, we are unable to ship to the following countries:

Afghanistan
American Samoa
Belarus
Brunei Darussalam
Central African Republic
The Democratic Republic of Congo
Eritrea
Guinea-bissau
Iran
Lebanon
Libiya Arab Jamahriya
Somalia
Sudan
Russian Federation
Syrian Arab Republic
Ukraine
Venezuela

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Amazon verified reviews

Marleen Mar 06, 2021

The first three chapters of this book provide an introduction to TensorFlow 2 (TF) in general as well as some TF specific operations/syntax which is very handy to know! And the third chapter on the introduction is related to Keras.Then the book continues with a chapter on Linear Regression. I got a bit confused here because this chapters also discusses Logistic Regressions and others, which are all known as linear models, I just didn't expect to find logistic regression in here - a pleasant surprise!The chapter on Boosted Trees was missing structure I find. This one, the Transformers chapter and the RL chapter are definitely for readers that know how those models work and are just looking for implementation advise using TF.Then finally, my favourite chapters: various Neural Networks and the Deploying models to PRD. Those pages were filled with very well designed examples and I enjoyed going through them a lot!Therefore overall, this book will definitely help you understand how to use TensorFlow, but if you expect to learn the models used as well, you might need an additional book with more theory on e.g. Reinforcement Learning.The examples accompanying the book are all very straight forward and easy to follow along. This book is definitely a buy if you buy it for the purpose of learning TF!!(Site-note: I wish for other RL examples in books that have chapters on RL. It seems like many use the same.)

Amazon Verified review

Samuel de Zoete Jul 20, 2021

"Getting Ready! How to do it...! How it works...!" is the structure of the recipes in the book and it works for me. The explanations are short and straight to the point, I personally love when a learning book is concise. Plenty of resource suggestions if deep dive is necessary or brushing up on certain knowledge, e.g. Matrix Computations. I would suggest, download the code from GitHub and use Google Colab with the book. I read the book from my iPad and code on my laptop, it's perfect for me this way.When reading the book it provided me a good reference and framework how to setup, design and use TensorFlow. I usually use the Keras Interface, beyond that, it seems all a bit 'difficult', but this book gives me the confidence that directly using TF is now an option when it's needed.

Vicky Apr 29, 2021

The book is an extraordinary asset for those keen on applying complex data computations using TensorFlow.It is somewhat light on detailed theoretical explanations but provides resourceful insights for building production-ready modules in real-world scenarios. I would recommend it if you are either already familiar with basic ML theory and the math background or if you have a software engineering background and are simply looking to implement an ML solution with Tensorflow.

Mihai Maruseac Apr 23, 2021

I really enjoyed reading this book. I tried to judge it based on how someone new to the Machine Learning field would feel when reading it as well as on how someone with deep expertise would. I am happy to report that I think both types of readers would enjoy reading the book.The book is a collection of recipes on how to solve various ML tasks using TF. It uses TF 2.x, the more modern version of TensorFlow but still has mentions for relevant TF 1.x features, as they are needed in some places of the prose.Each recipe starts from the first line of code and finishes with a fully working example, including output documentation. There are also explanations for the output and sometimes even suggestions for different avenues of experimentation.The first few chapters are very introductory. A reader would learn how to use raw TF API to create an ML model, then how to become better and more efficient by using higher level APIs, such as Keras and tf.data (and Estimators but these are TF 1.x features, so the corresponding chapter should be read with a view on the past history of TF).The last part of the book focuses on solutions for different ML tasks. Image processing, NLP, reinforcement learning, are all topics that are touched and presented at a reasonable level.

JOSET Mar 20, 2021

Really interesting and relevant book for the use of Temsorflow!Well done to the writers and Alexia!

Machine Learning Using TensorFlow Cookbook: Create powerful machine learning algorithms with TensorFlow

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