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Fundamentals of Deep Learning
Introduction to Neural Networks — Part 1

Introduction to Neural Networks — Part 1

Defining Neural Networks
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Harsha Bommana
Introduction to Neural Networks — Part 2

Introduction to Neural Networks — Part 2

Training Neural Networks
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Harsha Bommana
Loss Functions Explained

Loss Functions Explained

Intuitive explanations of various Loss Functions in Deep Learning
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Harsha Bommana
Understanding Optimizers

Understanding Optimizers

Exploring how the different popular optimizers in Deep Learning work
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Harsha Bommana
Generalization in Neural Networks

Generalization in Neural Networks

How can neural networks learn more effectively from the given data.
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Harsha Bommana
Deep Computer Vision
Deep CV: How do CNNs work?

Deep CV: How do CNNs work?

Intuitive and visual explanation of Convolutional Neural Networks.
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Harsha Bommana
Deep CV: Advanced Convolutional Layers

Deep CV: Advanced Convolutional Layers

Visual explanation of Advanced Convolutional Layers. Explains Depthwise Separable, Deconvolutional, Dilated and Grouped Convolutional…
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Harsha Bommana
Deep Natural Language Processing
Deep NLP: Word Vectors with Word2Vec

Deep NLP: Word Vectors with Word2Vec

How to preprocess text effectively with Deep Learning
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Harsha Bommana
Deep NLP: Sequential Models with RNNs

Deep NLP: Sequential Models with RNNs

RNNs are the entry point to using Deep Learning for Natural Language Processing. Learn exactly how they work.
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Harsha Bommana
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