2023

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What is U2-Net or U-square Net

U2-Net is a simple and powerful architecture designed for the purpose of salient object detection (SOD). It is a two-level nested U-shaped architecture built using the proposed ReSidual U-blocks (RSU). The U2-Net does not use any pre-trained architecture and is trained from scratch. The architecture comes with two variants: U2-Net...

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TensorFlow vs PyTorch

TensorFlow and PyTorch are both popular open-source frameworks for building and training machine learning models. Both frameworks have their own strengths and weaknesses, and the choice between them depends on the specific needs of the project. Introduction to TensorFlow and PyTorch TensorFlow TensorFlow, which was developed by Google, is a...

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Implementing Linear Regression in TensorFlow

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 to implement a linear regression model and plot the loss graph and x and y on matplotlib. First, we will...

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What is ChatGPT?

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 post, we will take a closer look at what ChatGPT is, how it works, and its applications in the field...

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Activation Function – Basics of Deep Learning

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 is the activation function, which is responsible for determining the output of each neuron in the network. In this blog...