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Category: Neural networks

PyTorch tutorial - fully connected neural network example architecture

A PyTorch tutorial – deep learning in Python

October 26, 2017 Andy 0

So – if you’re a follower of this blog and you’ve been trying out your own deep learning networks in TensorFlow and Keras, you’ve probably […]

Python TensorFlow Tutorial – Build a Neural Network

April 8, 2017 Andy 16

Google’s TensorFlow has been a hot topic in deep learning recently.  The open source software, designed to allow efficient computation of data flow graphs, is especially suited to […]

Stochastic Gradient Descent – Mini-batch and more

March 30, 2017 Andy 0

In the neural network tutorial, I introduced the gradient descent algorithm which is used to train the weights in an artificial neural network.  In reality, […]

Improve your neural networks – Part 1 [TIPS AND TRICKS]

March 28, 2017 Andy 1

In the last post, I presented a comprehensive tutorial of how to build and understand neural networks.  At the end of that tutorial, we developed […]

Neural Networks Tutorial – A Pathway to Deep Learning

March 18, 2017 Andy 23

Chances are, if you are searching for a tutorial on artificial neural networks (ANN) you already have some idea of what they are, and what […]

Popular tutorials

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