PyTorch Graphs, Automatic Differentiation, and Autograd

14 mins read Table of content: Understanding Graphs, Automatic Differentiation, and AutogradBuilding Your First Neural NetworkGoing Deep with PyTorchMemory Management and Using Multiple […]

PyTorch Quick Tutorial

23 mins read Overview What is PyTorch? How can you get started with it from scratch? We’ll cover all of that in this […]

A tutorial on Motion Estimation with Optical Flow with Python Implementation

26 mins read Recent breakthroughs in computer vision research have allowed machines to perceive their surrounding world through techniques such as object detection for detecting […]

Distributed representations vs. local representations in deep learning

7 mins read The concept of distributed representations is often central to deep learning, particularly as it applies to natural language tasks. Those […]

What are Word Embeddings and how do they work? An introduction to Word2Vec (CBOW and Skip Gram)

22 mins read Word embedding is one of the most popular representations of document vocabulary. It is capable of capturing the context of […]

Implementing LSTM Networks in Python with Keras

27 mins read A powerful and popular recurrent neural network is the long short-term model network or LSTM. It is widely used because […]

How to reshape Input Data for Long Short-Term Memory (LSTM) Networks in Keras

9 mins read It can be difficult to understand how to prepare your sequence data for input to an LSTM model. Often there […]

A complete guide to understanding Long Short Term Memory (LSTM) Networks

37 mins read In this post, I provide three useful resources for understanding LTSMs. Introduction Sequence prediction problems have been around for a […]

What is the Region of Interest Pooling?

8 mins read Region of interest pooling (also known as RoI pooling) is an operation widely used in object detection tasks using convolutional […]