It’s a great time to be practising deep learning. The main existing deep learning frameworks like TensorFlow, Keras and PyTorch are maturing and offer a […]
A recent announcement from the TensorFlow development team has informed the world that some major new changes are coming to TensorFlow, resulting in a new […]
Deep learning can be complicated…and sometimes frustrating. Why is my lousy 10 layer conv-net only achieving 95% accuracy on MNIST!? We’ve all been there – […]
TensorFlow is a great deep learning framework. In fact, it is still the reigning monarch within the deep learning framework kingdom. However, it has some […]
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 […]
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