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In this video, we explore vital optimization techniques that enhance neural network performance. Learn about gradient descent, ...

A beginner friendly overview of AI fundamentals with a clean roadmap from history to hands on coding. The episode breaks down ...

The moment you realize every problem needs a different neural network. And the quiet confidence that comes when AI stops ...

... computing: mixed-signal circuit design, spiking neural networks, MLIR compiler engineering, and hardware-software co-design.

In Artificial Neural Networks, the weights of the network will be initialized with Glorot / HE / Lecun techniques which internally uses ...

... Learning GDP Prediction with Random Forest & Neural Network Python ML Project for GDP Forecasting From Data Scraping to ...

Ever wonder how ChatGPT actually understands context? It's not magic. It's simple math. In this video, I break down the ...

A beginner-friendly introduction to AI fundamentals covering history, core concepts, and the main AI types. It pairs theory with ...

AI & ML Master Class by Shiva Rama Krishna at Naresh IT is a comprehensive introduction to Artificial Intelligence and Machine ...

Machine Learning seems like a complex magic box, but what if you could understand it all? This is your complete A-to-Z guide to ...

Manual post-processing in ParaView can be a bottleneck when generating large CFD datasets. In this tutorial, I show how to use ...

Welcome back to our Deep Learning in Tamil series. In this video, we take the next practical step after understanding the ...

Is project me maine Python based Face Biometric Attendance System develop kiya hai jo real-time webcam video se multiple ...

In this hands-on Machine Learning workshop, we cover the complete ML Model Lifecycle — from understanding the problem and ...

Welcome to Day 3 of the AI Engineer Roadmap (6-Month Training Program)! In today's live class, we move deeper into Python ...

In this lecture (ML Playlist Module 2.4), you will learn Feature Engineering from the ground up—why it exists, what it ...

In this video, how to implement Convolution Neural Network (CNN) for image recognition is explained. The working of CNN is ...

Neural Machine Translation (NMT) is a core concept in Natural Language Processing, and attention mechanisms are what make ...

I earned a Master's degree in Data Science during the COVID shutdown, but my day-to-day role is as a GCP Cloud Architect, ...

Register for immers.cloud using my link and get a 20% bonus on your account top-up: https://immers.cloud/signup/r/20250925 ...