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Image Augmentation Techniques for Training Deep Learning Models
Image augmentation techniques help in altering the existing image data to create some more data for the model training process
Shipra Saxena 12 Mar, 2021
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An Image is Worth 16×16 Words: Transformers for Image Recognition at Scale (Vision Transformers)
Vision Transformers is one of the prominent tranformers for Image Recognition at Scale. Let'd deep dive into Vision transformers
Satishkumar 11 Mar, 2021
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Introduction to Batch Normalization
Batch normalization is the process to make neural networks faster and more stable through adding extra layers in a deep neural network.
Shipra Saxena 01 May, 2025
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Forward Propagation and Errors in a Neural Network
Forward propagation is the first step of training a neural network. In this article, learn about the errors and forward propagation
Himanshi Singh 12 Mar, 2021
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International Space Station(ISS) Detector using Python
In this article we are going to create our own International Space Station(ISS) detector using Python and test it to see if it works
Shrish 05 Mar, 2021
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Understanding Gradient Descent Algorithm
Gradient descent is a first-order iterative optimization algorithm. In this article, learn how does gradient descent work and optimize model
Shipra Saxena 21 Feb, 2024
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Data Science 101: Introduction to Cost Function
Cost function gives the lowest MSE which is the sum of the squared differences between the prediction and true value for Linear Regression
Himanshi Singh 17 Oct, 2024
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Neural Network 101: Definition, Types and Application
Neural Network is one of the fundamental concepts of Data Science Universe. In this article, we introduce you to Neural Network.
Shrish 07 Feb, 2024
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A Beginners’ Guide to Image Similarity using Python
Image similarity is topic not talked about in the field of computer vision. In this article, let us understand Image similarity in Python
Prateek 19 Oct, 2024
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Binary Cross Entropy/Log Loss for Binary Classification
Learn how Binary Cross Entropy (Log Loss) functions in binary classification tasks in machine learning. Understand its formula, application, and role in optimizing classification models
Shipra Saxena 24 Apr, 2025
