Category: Deep Learning

In this article, we will look into some important aspects of PyTorch. We will take a look into the autograd package in PyTorch. This is the second part of the series, Deep Learning with PyTorch.Part 1: Installing PyTorch and Covering the Basics. Part 2: Basics of Autograd in PyTorch. This article is heavily influenced by […] ...

PyTorch is an open-source machine learning library. It is based on Torch library but specifically written for Python language. Recently PyTorch has been gaining much more traction and popularity for deep learning research and development alike. The best thing about PyTorch is that it is very python-like and intuitive. If you know the Python programming […] ...

In this article, we will take a look at how we can use image augmentation in deep learning. Data augmentation is a very useful technique when dealing with image data. Image augmentation is most helpful when the dataset is small. We can also benefit from image augmentation when we are not able to find any […] ...

In this article, we will go through image classification using deep learning. Image classification is a sub-field of computer vision. There have been a lot of advances in deep learning using neural networks. And because of that computer vision has seen many applications and advances in recent years. Image classification, image recognition, object detection and […] ...

In this part of the Deep Learning with Keras series, we will learn some of the most useful concepts. We will cover topics like Callbacks in Keras, saving models and restoring models. You will also learn about Tensorboard visualization which is an important part of Keras callbacks and analyzing and training models. This is the […] ...