Deep Learning Archives - Page 5 of 6

Squeeze and Excitation Implementation in TensorFlow and PyTorch

Nikhil Tomar1st December 20211st December 2021

The Squeeze and Excitation network is a channel-wise attention mechanism that is used to improve the overall performance of the network. In today's article, we are going to implement the...

Deep Learning

Semi-supervised Learning – Fundamentals of Deep Learning

Nikhil Tomar27th November 202127th November 2021

Semi-supervised learning is a type of machine learning where we use a combination of a large amount of unlabelled data and a small amount of labelled data to train the...

Computer Vision Deep Learning

Squeeze and Excitation Networks

Nikhil Tomar5th October 202111th October 2022

Convolutional Neural Network (CNN) has been most widely used in the field of computer vision and visual perception to solve multiple tasks such as image classification, semantic segmentation and many...

Computer Vision Deep Learning

What is Residual Network or ResNet?

Nikhil Tomar25th September 202125th September 2021

Deep neural networks have become popular due to their high performance in real-world applications, such as image classification, speech recognition, machine translation and many more. Over time deep neural networks...

Deep Learning

Supervised vs Unsupervised Learning

Nikhil Tomar18th September 202118th September 2021

In this article, we are going to explore the two machine learning approaches - supervised and unsupervised learning. It is one of the most basic questions for data science beginners....

Computer Vision Deep Learning

What is Transfer Learning? – A Simple Introduction.

Nikhil Tomar24th August 202126th August 2021

Transfer Learning is a technique in machine learning where we reuse a pre-trained model to solve a different but related problem. It is one of the popular methods to train...

Computer Vision Deep Learning Python PyTorch

UNET Implementation in PyTorch

Nikhil Tomar22nd May 20211st June 2021

This tutorial focus on the implementation of the image segmentation architecture called UNET in the PyTorch framework. It's a simple encoder-decoder architecture developed by Olaf Ronneberger et al. for Biomedical...

Computer Vision Deep Learning

Convolution Neural Network (CNN) – Fundamental of Deep Learning

Nikhil Tomar19th May 202119th May 2021

Convolutional Neural Network (CNN) is used to solve a wide range of visual tasks such as image classification, object detection, semantic segmentation, and many more. CNN consists of a series...

Computer Vision Deep Learning Python TensorFlow

UNET Implementation in TensorFlow using Keras API

Nikhil Tomar15th February 202115th February 2021

In this post, you will learn how to implement UNET architecture in TensorFlow using Keras API. The post helps you to learn about UNET, and how to use it for...

Deep Learning

Why do we need GPU for Deep Learning?

Nikhil Tomar14th February 202114th February 2021

The current era started to move towards Artificial Intelligence, which massively impacted the world with its ability to achieve the tasks that were a dream of humanity. All of these...