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How wide my network should be?

9 minute read

Published:

In my previous post, I examined the question of how many layers a neural network needs for simple classification tasks. I have explored the linear classification of the AND and OR data sets and the more complex XOR and two-moon data.

How many layers do you need?

15 minute read

Published:

Deep learning is booming. Now with the availability of high-level neural networks API, such as Keras, it is easy to run deep neural networks and solve complex classification problems. Still, from time to time, it is valuable to go back to simple tasks that we can fully understand and this is the aim of this publication.

Classifying grayscale images of handwritten digits (MNIST) using Keras

7 minute read

Published:

In this post, I will quickly solve the classification problem of grayscale images of handwritten digits using Keras. This data set, also called MNIST, is classic. It contains tenths of thousand of handwritten numbers (which are 28x28 pixels), and the classification task is to categorize them into their ten categories: 0 to 9.

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teaching

Teaching experience 1

Undergraduate course, University 1, Department, 2014

This is a description of a teaching experience. You can use markdown like any other post.

Teaching experience 2

Workshop, University 1, Department, 2015

This is a description of a teaching experience. You can use markdown like any other post.