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A Unique Perspective on Understanding the True Purpose of Hidden Layers in a Neural Network
Intuitive guide to handling non-linearity with neural networks.
Avi Chawla
Dec 2
68
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A Unique Perspective on Understanding the True Purpose of Hidden Layers in a Neural Network
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A Visual and Intuitive Guide to What Makes ReLU a Non-linear Activation Function
An intuitive guide to ReLU that you always wanted to read.
Avi Chawla
Nov 26
60
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A Visual and Intuitive Guide to What Makes ReLU a Non-linear Activation Function
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Federated Learning: An Overlooked ML Technique That Deserves More Attention
A step towards privacy-preserving ML.
Avi Chawla
Nov 13
58
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Federated Learning: An Overlooked ML Technique That Deserves More Attention
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A Practical and Intuitive Guide to Building Multi-task Learning Models
Building MTL models in PyTorch.
Avi Chawla
Nov 8
36
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A Practical and Intuitive Guide to Building Multi-task Learning Models
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Transfer Learning vs. Fine-tuning vs. Multitask Learning vs. Federated Learning
Four critical model training paradigms that you MUST know for real-world ML modelling.
Avi Chawla
Nov 7
65
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Transfer Learning vs. Fine-tuning vs. Multitask Learning vs. Federated Learning
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Label Smoothing: The Overlooked and Lesser-Talked Regularization Technique
Make your model less overconfident.
Avi Chawla
Nov 6
38
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Label Smoothing: The Overlooked and Lesser-Talked Regularization Technique
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The Most Common Mistake That PyTorch Users Make When Creating Tensors on GPUs
A hidden reason for training failure.
Avi Chawla
Nov 2
42
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The Most Common Mistake That PyTorch Users Make When Creating Tensors on GPUs
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Gradient Accumulation: Increase Batch Size Without Explicitly Increasing Batch Size
An underrated technique to train neural networks in memory constrained settings.
Avi Chawla
Oct 16
20
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Gradient Accumulation: Increase Batch Size Without Explicitly Increasing Batch Size
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