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Abhikalp Srivastava

Abhikalp Srivastava

Bangalore, India •
4 posts •
Deep Learning

Gradient / Activation checkpointing

Discover Gradient Checkpointing, a memory-saving technique in deep learning. Learn how it reduces memory usage, enabling the training of deeper networks. Explore real-world applications, advantages, and key takeaways in this exploration of memory optimization.

Abhikalp Srivastava Abhikalp Srivastava
Deep Learning

Multi-Head Attention in Deep Learning

Multi-Head Attention, a foundational component in modern neural networks, has transformed the way we process and understand sequential and structured data.

Abhikalp Srivastava Abhikalp Srivastava
Machine Learning (ML)

Mastering Multi-Label Classification

Dive into the realm of multi-label classification, where AI tackles the intricacies of assigning multiple labels to data points. Explore label correlations, ethical dimensions, and algorithmic strategies in this captivating journey of AI complexity.

Abhikalp Srivastava Abhikalp Srivastava
Deep Learning

Journey through Backpropagation algorithm

This article talks about the process of Backpropagation, an algorithm crucial to refining Neural Networks. It also delves into its core process, explaining how it enables networks to learn from errors and enhance their accuracy. From math to application, witness AI's ongoing enhancement.

Abhikalp Srivastava Abhikalp Srivastava
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