Cropping layers with PyTorch
Sometimes, you may wish to perform cropping on the input images that you are feeding to your neural network. While...
How to use TensorBoard with PyTorch
When your Deep Learning model is training, you are interested in how well it performs. Often, it’s possible to output...
GANs: an Introduction to Fréchet Inception Distance (FID)
The Frechet Inception Distance or FID is a method for comparing the statistics of two distributions by computing the distance between them....
Introduction to Isotropic architectures in Computer Vision
If you are new to Deep Learning, or have worked with neural networks for some time, it’s likely that you’re...
Simple Multi-options A/B/n test with Multi-Armed Bandit in Python
The hardened Machine Learning professional knows that there are three key branches of ML: supervised learning, unsupervised learning and reinforcement...
How to use L1, L2 and Elastic Net regularization with PyTorch?
Training a neural network means that you will need to strike a balance between optimization and over-optimization. Over-optimized models work...
How to create a neural network for regression with PyTorch
In many examples of Deep Learning models, the model target is classification – or the assignment of a class to...
How to use PyTorch loss functions
Loss functions are an important component of a neural network. Interfacing between the forward and backward pass within a Deep...
Building a simple vanilla GAN with PyTorch
Using a Generative Adversarial Model, or a GAN, it is possible to perform generative Machine Learning. In other words, you...
Creating DCGAN with TensorFlow 2 and Keras
Generative Machine Learning is a really interesting area of research that investigates how Machine Learning (and by consequence, Deep Learning)...
