Keras, Eager and TensorFlow 2.0 – a new TF paradigm
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 […]
Introduction to TensorBoard and TensorFlow visualization
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 Eager tutorial
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 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 […]
Convolutional Neural Networks Tutorial in PyTorch
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 […]
Weight initialization tutorial in TensorFlow
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, […]
The vanishing gradient problem and ReLUs – a TensorFlow investigation
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 […]
TensorFlow Dataset API tutorial – build high performance data pipelines
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 […]
Reinforcement learning tutorial using Python and Keras
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 […]
Keras LSTM tutorial – How to easily build a powerful deep learning language model
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 […]