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CodeEmporium

CodeEmporium

Mission: In the next 2 years, we aim to create comprehensive AI educational content to show you how fascinating the field is. In the process, I hope to make you a curious mind.

369 videos

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36:32

Back propagation by hand - the math you should know

33:13

Where did convolution networks come from?

15:33

Primary Visual Cortex: How brain processes what we see

12:50

Receptive Fields - Explained

11:39

Visual Pathway - Explained

8:41

Vision: Structure of the eye - Explained!

1:38:01

Reinforcement Learning: Zero to Hero

2:22:49

Evolution of Neural Networks: Zero to Hero

27:20

Evolution of back propagation: Who invented it?

13:34

Mutli layer perceptron - Explained!

23:53

Boltzmann Machine - Explained!

21:15

Hopfield Networks - Explained!

18:09

ADALINE: Adaptive Linear Neurons - EXPLAINED!

28:37

Perceptron - Explained!

20:26

The first artificial neuron - Explained!

14:13

LLM Agents - Explained!

18:05

LLM Self-Taught Reasoning - Explained!

8:34

Chain-of-thought prompting - Explained!

29:22

LoRA - Explained!

23:07

LLM (Parameter Efficient) Fine Tuning - Explained!

30:00

RAG - Explained!

13:31

genAI - EXPLAINED!

17:48

genAI vs ChatGPT vs LLMs - Buzzwords Explained!

45:22

Informer: Training and Inference

1:27:01

Informer: Complete Code from scratch!

38:01

Informer: complete architecture EXPLAINED!

26:11

Informer Encoder architecture - EXPLAINED!

24:59

Informer embeddings - EXPLAINED!

0:52

What is a policy in Reinforcement Learning? #reinforcementlearning #artificialintelligence e you

0:58

Agent Environment interaction loop #reinforcementlearning #artificialintelligence

25:05

Informer distillation - EXPLAINED!

0:29

Machine Learning Paradigm: Reinforcement Learning

0:44

Machine Learning Paradigms: Supervised and Unsupervised Learning

0:42

Reinforcement Learning: from Atari Games to Robotic Walking

0:42

Paradigms of Machine Learning: Reinforcement Learning

36:06

Informer attention code - FROM SCRATCH!

19:23

Informer attention Architecture - FROM SCRATCH!

15:17

Informer: Time series Transformer - EXPLAINED!

16:32

Hyper parameters - EXPLAINED!

15:54

How much training data does a neural network need?

13:21

NLP with Neural Networks | ngram to LLMs

16:22

Transfer Learning - EXPLAINED!

12:58

Embeddings - EXPLAINED!

17:00

Batch Normalization in neural networks - EXPLAINED!

8:14

Loss functions in Neural Networks - EXPLAINED!

10:19

Optimizers in Neural Networks - EXPLAINED!

12:32

Activation functions in neural networks

10:18

Backpropagation in Neural Networks - EXPLAINED!

15:16

Building your first Neural Network

0:45

Forgotten history of Calculus in India

0:57

Calculus in 60 seconds

0:50

Limits and inifinity in calculus

0:56

Instance Segmentation in Masked RCNN Explained #deeplearning #machinelearning

0:47

Cuneiforms and Calculus

0:53

Mask in Masked RCNN #deeplearning #machinelearning

0:37

Masked RCNN summary #deeplearning #machinelearning

0:49

Fully Convolution Neural Networks Explained #deeplearning #machinelearning

0:24

Semantic Segmentation explained #deeplearning #machinelearning

0:59

COCO Dataset and its use in Computer Vision #machinelearning #deeplearning

0:53

Masked RCNN - Explained! #deeplearning #machinelearning

0:51

Matrices in Linear Regression #machinelearning

0:41

Multiple Regression Explained #machinelearning

10:17

Reinforcement Learning through Human Feedback - EXPLAINED! | RLHF

0:56

Why Parametric form is important in Linear Regression #machinelearning

0:50

Residual Error vs Irreducible Error in Linear Regression #deeplearning #machinelearning

0:40

Regression explained #machinelearning #deeplearning

0:44

Traditional time series models vs machine learning part 1 #machinelearning #deeplearning

13:26

Proximal Policy Optimization | ChatGPT uses this

0:15

Types of Time series models #deeplearning #machinelearning

0:43

Traditional Time Series methods vs Machine Learning Methods #deeplearning #machinelearning

0:51

Time Series Modeling trend and seasonality #deeplearning #machinelearning

10:51

Deep Q-Networks Explained!

0:35

Prophet for Time series forecasting #deeplearning #machinelearning

0:40

Time Series with Machine Learning #deeplearning #machinelearning

0:52

Time Series Problem for Data Scientists #deeplearning #machinelearning

0:19

Vector to Sequence Recurrent Neural Network #deeplearning #machinelearning

0:46

LSTM construction explained #deeplearning #machinelearning

11:49

Monte Carlo in Reinforcement Learning

0:20

Sequece to Sequence Recurrent Neural Networks #deeplearning #machinelearning

0:33

LSTM gates explained in 60 seconds #deeplearning #machinelearning

0:33

Neural Network vs Recurrent Neural Network #deeplearning #machinelearning

0:19

Sequence to Vector Recurrent Neural Networks #deeplearning #machinelearning

0:37

LSTM code for language models #deeplearning #machinelearning

14:47

Reinforcement Learning: on-policy vs off-policy algorithms

0:49

BERT Pretraining in 60 seconds #deeplearning #machinelearning

0:36

RNNs Exploding and Vanishing Gradients #deeplearning #machinelearning

0:57

Encoder Decoder Architectures for RNNs #deeplearning #machinelearning

0:55

BERT Loss function #deeplearning #machinelearning

11:54

Q-learning - Explained!

0:50

BERT Pretaining in Detail #deeplearning #machinelearning

0:42

BERT Pretaining summary #deeplearning #machinelearning

0:43

BERT: How to construct input embeddings? #deeplearning #machinelearning

0:35

BERT fine tuning #deeplearning #machinelearning

0:42

How does Transformer translate? #deeplearning #machinelearning

10:11

Foundation of Q-learning | Temporal Difference Learning explained!

0:34

Why Transformers over LSTMs? #deeplearning #machinelearning

0:33

What is Attention in Transformers? #deeplearning #machinelearning

0:41

Why LSTM over RNNs? #deeplearning #machinelearning

0:53

Mutli head attention for Transformer

0:44

Word Embedding & Position Encoder in Transformer