// The Library

Technical Deep Dives,
& systems logic.

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3. Computer Vision: Transfer Learning

A small guide on how transfer learning using pre-trained models.

Mar 22, 2025 6 min read #Computer Vision

2. Computer Vision: Pre trained Models

A small guide on how to work with pre-trained models.

Mar 22, 2025 4 min read #Computer Vision

1. Computer Vision: Architecture

A description on working of CNNs.

Mar 21, 2025 11 min read #Computer Vision

6. Neural Nets: Regularization and Normalization

Regularization Techniques.

Mar 18, 2025 10 min read #Neural-Net

5. Neural Nets: Implementing MLP using PyTorch

Implementing Multi Layer Perceptron

Mar 17, 2025 13 min read #Neural-Net

4. Neural Nets: Loss and Optmization

Dicussion about different types of Optimization functions and losses

Mar 16, 2025 17 min read #Neural-Net

3. Neural Nets: Activation Functions

Overview of differnet types of Actiavation functions.

Mar 16, 2025 5 min read #Neural-Net

2. Neural Nets: Preprocessing data

Brief description on how data can be processed.

Mar 16, 2025 2 min read #Neural-Net

1. Neural Nets: Overview

Overview of Neural Networks

Mar 13, 2025 3 min read #Neural-Net