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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.

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22:21

Vision Transformers - Explained!

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Shared 1 week ago

1K views

27:31

Improving CNNs with Feature Pyramid Networks!

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Shared 2 weeks ago

521 views

15:16

Depthwise Separable Convolutions - Explained!

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Shared 3 weeks ago

534 views

28:46

Mask R-CNN - Explained!

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Shared 1 month ago

584 views

24:02

YOLO - Explained!

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Shared 1 month ago

1.1K views

28:50

Faster R-CNN - Explained!

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Shared 1 month ago

934 views

16:13

ResNet - Explained!

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Shared 1 month ago

1.3K views

36:56

Fast R-CNN - Explained!

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Shared 2 months ago

1.8K views

14:04

VGGNet - Explained!

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Shared 2 months ago

1.3K views

15:46

Inception Net - Explained! (with code)

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Shared 2 months ago

856 views

22:01

Pointwise Convolutions - EXPLAINED (with code)

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Shared 2 months ago

805 views

22:44

Deconvolution - what do networks learn? (visualization + code)

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Shared 3 months ago

951 views

18:18

R-CNN - Explained!

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Shared 3 months ago

1.5K views

15:13

Region Proposals - Explained!

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Shared 3 months ago

912 views

15:24

Image segmentation - Explained!

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Shared 4 months ago

1.3K views

15:06

How was object detection done before neural networks?

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Shared 4 months ago

940 views

22:50

Why neural networks are so deep? (AlexNet - Explained)

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Shared 4 months ago

1.4K views

37:38

Visualizing convolution networks

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Shared 4 months ago

1.2K views

14:31

Why convolution networks work so well (on images)

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Shared 4 months ago

1.3K views

53:46

Convolution Network back propagation by hand | the math you should know!

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Shared 5 months ago

1.1K views

36:32

Back propagation by hand | the math you should know

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Shared 5 months ago

1.9K views

33:13

Where did convolution networks come from?

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Shared 6 months ago

1.6K views

15:33

Primary Visual Cortex: How brain processes what we see

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Shared 7 months ago

890 views

12:50

Receptive Fields - Explained

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Shared 7 months ago

1.8K views

11:39

Visual Pathway - Explained

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Shared 8 months ago

1.1K views

8:41

Vision: Structure of the eye - Explained!

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Shared 8 months ago

1.2K views

1:38:01

Reinforcement Learning: Zero to Hero

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Shared 8 months ago

6K views

2:22:49

Evolution of Neural Networks: Zero to Hero

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Shared 8 months ago

2.4K views

27:20

Evolution of back propagation: Who invented it?

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Shared 9 months ago

942 views

13:34

Mutli layer perceptron - Explained!

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Shared 9 months ago

1K views

23:53

Boltzmann Machine - Explained!

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Shared 10 months ago

6.4K views

21:15

Hopfield Networks - Explained!

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Shared 10 months ago

4.8K views

18:09

ADALINE: Adaptive Linear Neurons - EXPLAINED!

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Shared 10 months ago

1.7K views

28:37

Perceptron - Explained!

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Shared 11 months ago

1.5K views

20:26

The first artificial neuron - Explained!

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Shared 11 months ago

1.8K views

14:13

LLM Agents - Explained!

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Shared 1 year ago

7.1K views

18:05

LLM Self-Taught Reasoning - Explained!

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Shared 1 year ago

4.4K views

8:34

Chain-of-thought prompting - Explained!

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Shared 1 year ago

18K views

29:22

LoRA - Explained!

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Shared 1 year ago

17K views

23:07

LLM (Parameter Efficient) Fine Tuning - Explained!

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Shared 1 year ago

9K views

30:00

RAG - Explained!

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Shared 1 year ago

6.1K views

13:31

genAI - EXPLAINED!

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Shared 1 year ago

3.8K views

17:48

genAI vs ChatGPT vs LLMs - Buzzwords Explained!

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Shared 1 year ago

3.7K views

45:22

Informer: Training and Inference

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Shared 1 year ago

2.5K views

1:27:01

Informer: Complete Code from scratch!

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Shared 1 year ago

2.8K views

38:01

Informer: complete architecture EXPLAINED!

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Shared 1 year ago

2.7K views

26:11

Informer Encoder architecture - EXPLAINED!

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Shared 1 year ago

1.2K views

24:59

Informer embeddings - EXPLAINED!

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Shared 1 year ago

2.5K views

25:05

Informer distillation - EXPLAINED!

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Shared 1 year ago

1.7K views

36:06

Informer attention code - FROM SCRATCH!

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Shared 1 year ago

3K views

19:23

Informer attention Architecture - FROM SCRATCH!

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Shared 1 year ago

5.6K views

15:17

Informer: Time series Transformer - EXPLAINED!

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Shared 1 year ago

26K views

16:32

Hyper parameters - EXPLAINED!

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Shared 1 year ago

3.1K views

15:54

How much training data does a neural network need?

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Shared 1 year ago

3.7K views

13:21

NLP with Neural Networks | ngram to LLMs

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Shared 1 year ago

4.2K views

16:22

Transfer Learning - EXPLAINED!

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Shared 1 year ago

8.1K views

12:58

Embeddings - EXPLAINED!

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Shared 1 year ago

12K views

17:00

Batch Normalization in neural networks - EXPLAINED!

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Shared 1 year ago

8.4K views

8:14

Loss functions in Neural Networks - EXPLAINED!

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Shared 1 year ago

13K views

10:19

Optimizers in Neural Networks - EXPLAINED!

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Shared 1 year ago

5.2K views

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