January 30, 2020

Gated Recurrent Unit (GRU) With PyTorch

https://blog.floydhub.com/gru-with-pytorch/ Have you heard of GRUs? The Gated Recurrent Unit (GRU) is the younger sibling of the more popular Long Short-Term […]
January 30, 2020

Long Short-Term Memory Networks with PyTorch

LSTMs are a particular variant of RNNs, therefore having a grasp of the concepts surrounding RNNs will significantly aid your […]
January 28, 2020

Recurrent Neural Networks (RNN) with PyTorch

Recurrent Neural Networks(RNNs) have been the answer to most problems dealing with sequential data and Natural Language Processing(NLP) problems for […]
January 15, 2020

Object Detection using YOLO

Introduction How easy would our life be if we simply took an already designed framework, executed it, and got the […]
January 14, 2020

Fundamentals of Deep Learning

Introduction Did you know the first neural network was discovered in early 1950s ? Deep Learning (DL) and Neural Network […]
January 13, 2020

RCNN, fast RCNN, and faster RCNN algorithms for Object Detection Explained

Table of Contents A Simple Way of Solving an Object Detection Task (using Deep Learning) Understanding Region-Based Convolutional Neural Networks […]
January 11, 2020

Transfer Learning using PyTorch

Introduction to Transfer Learning Transfer Learning is a technique where a model trained for a certain task is used for […]
January 8, 2020

Understanding PyTorch with an example

Introduction PyTorch is the fastest growing Deep Learning framework and it is also used by Fast.ai in its MOOC, Deep Learning for Coders and its library. PyTorch is […]