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* Welcome Thushan Ganegedara

 
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This week, we're delighted to have Thushan Ganegedara helping to answer questions about the new book TensorFlow 2.0 in Action.
See the table of contents online

The promotion starts Tuesday, October 27th, 2020 and will end on Friday, October 30th, 2020

We'll be selecting four random posters in this forum to win a free copy of the book provided by the publisher, Manning.


Image from https://images.manning.com

Please see the Book Promotion page to ensure your best chances at winning!

Posts in this welcome thread are not eligible for the drawing, and should be reserved for welcoming the author. Questions posted in this topic are subject to removal.
 
Marshal
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Good to see you here: welcome. I see you have some questions about the book already.
 
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Thank you so much for the welcome. I'm so much looking forward to answering any questions about the book / TensorFlow or any other related questions you have.
 
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Welcome Thushan Ganegedara!

can't wait for this books release! I hope I win it!
 
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Welcome Thushan Ganegedara. Congratz on the book release. All the very best on the promotions.
 
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Welcome Thushan Ganegedara
 
Greenhorn
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Welcome Thushan Ganegedara!
 
Greenhorn
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Hi Thushan,

Congratulations on your new book release! I have recently started my journey in Data Science, and using TensorFlow for most of the tasks. I refer to online blogs or youtube videos while building the desired Deep Neural Network models.

Sometime people use Sequential APIs and adding the desired layers one by one (which I use all the time). However, I have seen some blogs where people used Functional APIs for building the same Structure of Neural Network. So, I was a little confused on when should we use Functional API and when Sequential API? Is it worth it getting familiar with Functional API although we can achieve the same task with Sequential?

I hope that I can find the solution for my question after reading your new book. So, looking forward for getting a copy for your book soon.

Thanks,
Rachit
 
please buy this thing and then I get a fat cut of the action:
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