If you’ve been involved with neural networks and have beeen using them for classification, you almost certainly will have used a cross entropy loss function. However, have you really understood what cross-entropy means? Do you… Read More »An introduction to entropy, cross entropy and KL divergence in machine learning
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 the end, it was able to achieve a classification accuracy around 86%. For a simple data set such as MNIST, this is actually quite poor. Further optimizations can bring densely… Read More »Convolutional Neural Networks Tutorial in PyTorch
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 come across the somewhat frustrating business of debugging these deep learning libraries. Sure, they have Python APIs, but it’s kinda hard to figure out what exactly is happening when something… Read More »A PyTorch tutorial – deep learning in Python