deep learning Archives - Page 4 of 5

Vision Transformer – An Image is Worth 16×16 Words: Transformers for Image Recognition at Scale

Nikhil Tomar2nd November 20226th February 2023

In this blog post, we are going to learn about the Vision Transformer (ViT). It is a pure Transformer based architecture used for image classification tasks. Vision Transformer (ViT) has...

Computer Vision Deep Learning

MODNet: Real-Time Trimap-Free Portrait Matting via Objective Decomposition

Nikhil Tomar31st October 20226th February 2023

In this work, we present a lightweight matting objective decomposition network (MODNet) for portrait matting in real-time with a single input image. MODNet inputs a single RGB image and applies...

Computer Vision TensorFlow

VGG19 UNET Implementation in TensorFlow

Nikhil Tomar18th October 20226th February 2023

In this tutorial, we are going to implement the U-Net architecture in TensorFlow, where we will replace its encoder with a pre-trained VGG19 architecture. The VGG19 is already trained on...

Deep Learning

Why Deep Learning is not Artificial General Intelligence (AGI)

Nikhil Tomar7th October 202211th October 2022

With the development in the field of deep learning, it has become a frontier in solving multiple challenging problems in computer vision, games, self-driving cars and many more. Deep learning...

Computer Vision

PP-LiteSeg: A Superior Real-Time Semantic Segmentation Model

Nikhil Tomar12th September 202211th October 2022

PP-LiteSeg is a lightweight encoder-decoder architecture designed for real-time semantic segmentation. The block diagram of the PP-LiteSeg architecture. It consists of three modules: Encoder: Lightweight networkAggregation: Simple Pyramid Pooling Module...

Deep Learning TensorFlow

Custom Layer in TensorFlow using Keras API

Nikhil Tomar4th December 20214th December 2021

The majority of the people interested in deep learning must have used the TensorFlow library. It is the most popular and widely used deep learning framework. We have used the...

Computer Vision Deep Learning TensorFlow

VGG16 UNET Implementation in TensorFlow

Nikhil Tomar3rd December 20216th February 2023

In this article, we are going to implement the most widely used image segmentation architecture called UNET. We are going to replace the UNET encoder with the VGG16 implementation from...

Computer Vision Deep Learning Python PyTorch TensorFlow

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

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...