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Category: Deep Learning

Implementing Linear Regression in TensorFlow
Deep Learning TensorFlow

Implementing Linear Regression in TensorFlow

Nikhil Tomar21st January 202321st January 2023
TensorFlow is a powerful library for machine learning that allows for the easy implementation of various algorithms, including linear regression. In this tutorial, we will be using TensorFlow tape gradient...
What is ChatGPT?
Deep Learning Natural Language Processing

What is ChatGPT?

Nikhil Tomar21st January 202321st January 2023
ChatGPT is a state-of-the-art natural language processing model developed by OpenAI. It is based on transformer architecture and is trained on a massive amount of conversational data. In this blog...
Activation Function – Basics of Deep Learning
Deep Learning

Activation Function – Basics of Deep Learning

Nikhil Tomar20th January 202321st January 2023
Deep learning is a subset of machine learning that utilizes neural networks with multiple layers to analyze and identify patterns in data. One of the key components of deep learning...
What is MobileViT?
Computer Vision Deep Learning

What is MobileViT?

Nikhil Tomar15th November 202215th November 2022
This article covers an overall summary of the MobileViT: Light-Weight, General-Purpose, and Mobile-Friendly Vision Transformers research paper. MobileViT is a lightweight and general-purpose vision transformer for mobile vision tasks. It...
Vision Transformer – An Image is Worth 16×16 Words: Transformers for Image Recognition at Scale
Computer Vision Deep Learning

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...
MODNet: Real-Time Trimap-Free Portrait Matting via Objective Decomposition
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...
Why Deep Learning is not Artificial General Intelligence (AGI)
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...
Deep Learning based Background Removal from Images using TensorFlow and Python
Computer Vision Deep Learning TensorFlow

Deep Learning based Background Removal from Images using TensorFlow and Python

Nikhil Tomar3rd January 202231st October 2022
In this tutorial, we are going to learn how to use deep learning to remove background from images with TensorFlow. In short, we'll use DeepLabV3+, a semantic segmentation based model...
Custom Layer in TensorFlow using Keras API
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...
VGG16 UNET Implementation in TensorFlow
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...

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