Why Deep Learning is not Artificial General Intelligence (AGI)
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…
Read morePP-LiteSeg: A Superior Real-Time Semantic Segmentation Model
PP-LiteSeg is a lightweight encoder-decoder architecture designed for real-time semantic segmentation. It consists of three modules: Encoder: Lightweight network Aggregation: Simple Pyramid Pooling Module (SPPM) Decoder: Flexible…
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Deep Learning based Background Removal from Images using TensorFlow and Python
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…
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UDP Client-Server Implementation in C
There are two major communication protocols: TCP and UDP. These protocols are used to transport data between the client and the server. In one of my previous…
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Custom Layer in TensorFlow using Keras API
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…
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VGG16 UNET Implementation in TensorFlow
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…
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Squeeze and Excitation Implementation in TensorFlow and PyTorch
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…
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Semi-supervised Learning – Fundamentals of Deep Learning
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…
Read moreFile Transfer using TCP Socket in Python3
In today’s tutorial, we are going to learn to do file transfer using a TCP socket in the python3 programming language. This is the most basic file…
Read moreSqueeze and Excitation Networks
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…
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