March 2018
Intermediate to advanced
484 pages
10h 31m
English
book
Deep Learning with TensorFlow - Second Edition
by Giancarlo Zaccone, Vihan Jain, Md. Rezaul Karim, Motaz Saad
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How does an ANN learn?
The learning process of a neural network is configured as an iterative process of the optimization of the weights and is therefore of the supervised type. The weights are modified because of the network's performance on a set of examples belonging to the training set, that is, the set where you know the classes that the examples belong to.
The aim is to minimize the loss function, which indicates the degree to which the behavior of the network deviates from the desired behavior. The performance of the network is then verified on a testing set consisting of objects (for example, images in an image classification problem) other than those in the training set.
ANNs and the backpropagation algorithm
A commonly used supervised
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.