TensorFlow Archives - Page 3 of 4

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...

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...

Computer Vision Python TensorFlow

Human Image Segmentation with DeepLabV3+ in TensorFlow

Nikhil Tomar4th August 20214th August 2021

In this article, you will learn to perform person segmentation with DeepLabV3+ architecture on human images. Here, we will cover the entire process of image segmentation starting from data processing...

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...

Computer Vision Deep Learning Python TensorFlow

What is RESUNET

Nikhil Tomar6th February 20216th February 2021

RESUNET refers to Deep Residual UNET. It’s an encoder-decoder architecture developed by Zhengxin Zhang et al. for semantic segmentation. It was initially used for the road extraction from the high-resolution...

Computer Vision Deep Learning Python TensorFlow

DCGAN – Implementing Deep Convolutional Generative Adversarial Network in TensorFlow

Nikhil Tomar24th July 202022nd November 2021

In this tutorial, we are going to implement a Deep Convolutional Generative Adversarial Network (DCGAN) on Anime faces dataset. The code is written in TensorFlow 2.2 and Python3.8 . According...

Computer Vision Python TensorFlow

UNET Segmentation with Pretrained MobileNetV2 as Encoder

Nikhil Tomar16th June 20205th June 2021

In this tutorial, we are going to work on UNet segmentation and use it for biomedical image segmentation tasks. This time we are going to use pre-trained MobileNetV2 as the...

Computer Vision Deep Learning TensorFlow

Building Convolutional Autoencoder using TensorFlow 2.0

Nikhil Tomar20th May 202027th May 2020

We are going to continue our journey on the autoencoders. In this article, we are going to build a convolutional autoencoder using the convolutional neural network (CNN) in TensorFlow 2.0....