August 2018
Intermediate to advanced
272 pages
7h 2m
English
book
Hands-On Convolutional Neural Networks with TensorFlow
by Iffat Zafar, Giounona Tzanidou, Richard Burton, Nimesh Patel, Leonardo Araujo
Content preview from Hands-On Convolutional Neural Networks with TensorFlow
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Underfitting versus overfitting
When designing a neural network to solve a specific problem, we may have lots of moving parts, and have to take care of many things at the same time such as:
- Preparing your dataset
- Choosing the number of layers/number of neurons
- Choosing optimizer hyper-parameters
If we focus on the second point, it leads us to learn about two problems that might occur when choosing or designing a neural network architecture/structure.
The first of these problems is if your model is too big for the amount, or complexity, of your training data. As the model has so many parameters, it can easily just learn exactly what it sees in your training set even down to the noise that is present in the data. This is a problem because ...
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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.