### Reinforcement learning tutorial with TensorFlow

Reinforcement learning has gained significant attention with the relatively recent success of DeepMind’s AlphaGo system defeating the world champion Go player. The AlphaGo system was […]

Reinforcement learning has gained significant attention with the relatively recent success of DeepMind’s AlphaGo system defeating the world champion Go player. The AlphaGo system was […]

In a previous introductory tutorial on neural networks, a three layer neural network was developed to classify the hand-written digits of the MNIST dataset. In […]

In the late 80’s and 90’s, neural network research stalled due to a lack of good performance. There were a number of reasons for this, […]

Deep learning is huge in machine learning at the moment, and no wonder – it is making large and important strides in solving problems in computer […]

Consuming data efficiently becomes really paramount to training performance in deep learning. In a previous post I discussed the TensorFlow data queuing framework. However, TensorFlow […]

In this post, I’m going to introduce the concept of reinforcement learning, and show you how to build an autonomous agent that can successfully play […]

In previous posts, I introduced Keras for building convolutional neural networks and performing word embedding. The next natural step is to talk about implementing recurrent […]

In my previous tutorial on recurrent neural networks and LSTM networks in TensorFlow, we weren’t able to get fantastic results. This is because I was […]

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 […]

In the deep learning journey so far on this website, I’ve introduced dense neural networks and convolutional neural networks (CNNs) which explain how to perform classification […]

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