TensorFlow 2.0 in Action
To demonstrate what we can do with TensorFlow 2.0, we will be implementing a GAN mode using the Keras API and generative models.
By
Alvin Koontz
Tutorial
By
Alvin Koontz
Implementing Gradient Descent in Python, Part 1: The Forward and Backward Pass
In this tutorial, which is the Part 1 of the series, we are going to make a worm start by implementing the GD for just a specific ANN architecture in which there is an input layer with 1 input and an output layer with 1 output.
6 years ago
Building a State of the Art Bacterial Classifier with Paperspace Gradient and Fast.ai
In this post, we’re going to be demonstrating how to to build a state of the art Bacterial Classification model on Gradient using the Fast.ai machine learning library.
By
Harsh Sikka
PyTorch 101, Part 5: Understanding Hooks
In this post, we cover debugging and Visualisation in PyTorch. We go over PyTorch hooks and how to use them to debug our backpass, visualise activations and modify gradients.
6 years ago
PyTorch 101, Part 4: Memory Management and Using Multiple GPUs
This article covers PyTorch's advanced GPU management features, including how to multiple GPU's for your network, whether be it data or model parallelism. We conclude with best practises for debugging memory error.
6 years ago
PyTorch 101, Part 3: Going Deep with PyTorch
In this tutorial, we dig deep into PyTorch's functionality and cover advanced tasks such as using different learning rates, learning rate policies and different weight initialisations etc
6 years ago
PyTorch 101, Part 2: Building Your First Neural Network
In this part, we will implement a neural network to classify CIFAR-10 images. We cover implementing the neural network, data loading pipeline and a decaying learning rate schedule.
6 years ago
PyTorch 101, Part 1: Understanding Graphs, Automatic Differentiation and Autograd
In this article, we dive into how PyTorch's Autograd engine performs automatic differentiation.
6 years ago
Convert Full ImageNet Pre-trained Model from MXNet to PyTorch
In this post, you will learn to convert Full ImageNet Pre-trained Model from MXNet to PyTorch.
6 years ago
