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The DataHour Synopsis: Writing Reusable and Reproducible Pipeline
A training pipeline is a code for training neural networks and producing checkpoints with model weights, logs, etc.
ankita 04 Sep, 2022
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RetinaNet : Advanced Computer Vision
RetinaNet is one of the best single-stage object detection models that work well with dense and small objects.
ANURAG SINGH CHOUDHARY 03 Sep, 2022
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Complete Guide to Run Machine Learning on Spark using Spark MLLIB
This article is about Spark MLLIB, a python API to work on spark and run a machine learning model on top of the massive amount of data.
Raghav Agrawal 06 Sep, 2022
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Introduction to Neural Network in Deep Learning
A neural network is a combination of multiple layers where each layer consists of multiple units- input, hidden and output layer
Pavan 12 Nov, 2024
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Regularization in Machine Learning
Learn about regularization in machine learning, how it addresses overfitting and underfitting, and explore bias, variance, and Python-based regularization techniques.
ANURAG SINGH CHOUDHARY 29 Oct, 2024
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Basic Introduction to Loss Functions
Explore the essential aspects of loss functions and their application in optimizing machine learning models for enhanced performance. Learn Now!
Pranshu Sharma 12 Oct, 2024
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Deep Learning Vision: Digitizing the World
This article explores the promise and potential of Deep Learning from another perspective of Mathematical vision.
Murugesan 06 Sep, 2022
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Evolution of TPUs and GPUs in Deep Learning Applications
This article will briefly discuss some research papers using TPUs and GPUs in Deep Learning applications, using research papers
Aryan Garg 22 Jan, 2024
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The DataHour: Your Upcoming Learning Timeline
Come, register yourself for the DataHour of your choice, where you can learn the application of data science in real life.
Sanjana Rajpal 18 Aug, 2022
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Colorization of Faded Images
In this article, we will see how colorization of images can be done using some concepts of OpenCV and Deep Learning.
Pinak 18 Aug, 2022
