Deep Learning

[NeurIPS Best Paper] 1000 Layer Networks for Self-Supervised RL — Kevin Wang et al, Princeton

VGG-16 Architecture Visually Explained

Transformer Encoder Architecture Explained

Deep Learning With TensorFlow and Keras [FREE] | TensorFlow Tutorial | Keras Tutorial | Simplilearn

Why the BERT Model Is a Game-Changer for Language Models

Deep Learning With TensorFlow and Keras [FREE] | TensorFlow Tutorial | Keras Tutorial | Simplilearn

AlexNet Explained from Scratch | Architecture, Layers, ReLU, Dropout

AI Roadmap Explained | From Basics to Building a Mini Chatbot (Transformers Series)

I Visualized a Decoder-Only Transformer

This is what LLMs really store

Transfer Learning in Deep Learning Tamil | Brain Tumor Segmentation using VGG16 | Adi Explains

19. Fine-Tuning vs. Transfer Learning: Key Differences Explained In Hindi

10. Transformers & Attention Mechanisms Explained: Q, K, and V | In Hindi

Stock Price Prediction using GRU | Deep Learning Project in Tamil | Gated Recurrent Unit

Ranking the Best Open Source AI Companies for 2025 + Open Source Model of the Year

AI for Business Full course in 11 Hours [ 2026 | How AI Could Empower Businesses | Edureka Live

Keras Recommenders: reliable, state-of-the-art recommendations for ranking and retrieval

Converting Pytorch to JAX - Coding Stream

Deep Learning Full Course - Learn Deep Learning - 10 Hours [2026] | Deep Learning Tutorial | Edureka

What Is FlashAttention? The Attention Trick Powering Faster LLMs

Positional Encoding in Transformers

Tensorflow Crash Course - Deep Learning in Python For Beginners

KAIST XAI Tutorial 2025 | Recent Trends in LLMs Interpretability | Prof. Nari Kim (KAIST XAI Center)

From RNNs to Transformers: The Complete Neural Machine Translation Journey

Applied Deep Learning 2025 - Lecture 11 - Graph Neural Networks

What is Keras?

AI Dev 25 x NYC | Robert Crowe: JAX Made Simple: An Intuitive Guide to Building Fast Neural Networks

NumPy & JAX NumPy (Part 2)

LeNet-5 CNN Architecture Explained | The Network That Started Deep Learning

9. GANs vs. Diffusion Models Explained | Deep Generative Modeling | In Hindi

7. GANs Explained: How Generators and Discriminators Create Realistic Data | In Hindi

6. Variational Autoencoders (VAE) vs. Standard Autoencoders Explained In Hindi

5. Autoencoders Explained In Hindi: Neural Networks for Data Compression & Reconstruction

Natural Language Processing (NLP) Full Course – Beginner to Advanced [2026] | Learn NLP with Python

Gated Recurrent Unit Explained in Tamil | GRU | Deep Learning Tutorial in Tamil | Adi Explains

Machine Learning Full Course In 10 Hours | Machine Learning Full Course For Beginners | Simplilearn

Generative AI Course Full course for Beginners -10 hours | Gen AI Tutorial for Beginners | Edureka

Stock Price Prediction using LSTM | Deep Learning Project in Tamil | Python Tutorial

Self-Attention: Decoding the Meaning of Self

Machine Learning Full Course In 10 Hrs | Machine Learning Full Course For Beginners | Simplilearn

Scaling Up (Part 1)

Getting started with MNIST

Scaling Up (Part 2)

Debugging JAX & Flax NNX (Part 1)

Efficient Data Loading

NumPy & JAX NumPy (Part 1)

Debugging JAX & Flax NNX (Part 3)

Introducing Flax NNX (Part 1)