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.
27:55
Swin transformer - Explained!
CodeEmporium
Shared 1 week ago
879 views
18:03
DETR - Explained!
Shared 3 weeks ago
1K views
22:21
Vision Transformers - Explained!
Shared 1 month ago
2.4K views
27:31
Feature Pyramid Networks - Explained!
718 views
15:16
Depthwise Separable Convolutions - Explained!
Shared 2 months ago
999 views
28:46
Mask R-CNN - Explained!
900 views
24:02
YOLO - Explained!
1.9K views
28:50
Faster R-CNN - Explained!
Shared 3 months ago
1.5K views
16:13
ResNet - Explained!
2.2K views
36:56
Fast R-CNN - Explained!
2.3K views
14:04
VGGNet - Explained!
1.6K views
15:46
Inception Net - Explained! (with code)
972 views
22:01
Pointwise Convolutions - EXPLAINED (with code)
Shared 4 months ago
929 views
22:44
Deconvolution - what do networks learn? (visualization + code)
18:18
R-CNN - Explained!
2K views
15:13
Region Proposals - Explained!
Shared 5 months ago
15:24
Image segmentation - Explained!
1.7K views
15:06
How was object detection done before neural networks?
984 views
22:50
Why neural networks are so deep? (AlexNet - Explained)
37:38
Visualizing convolution networks
Shared 6 months ago
1.2K views
14:31
Why convolution networks work so well (on images)
1.3K views
53:46
Convolution Network back propagation by hand | the math you should know!
36:32
Back propagation by hand | the math you should know
Shared 7 months ago
2.1K views
33:13
Where did convolution networks come from?
15:33
Primary Visual Cortex: How brain processes what we see
Shared 8 months ago
12:50
Receptive Fields - Explained
Shared 9 months ago
2.6K views
11:39
Visual Pathway - Explained
8:41
Vision: Structure of the eye - Explained!
1:38:01
Reinforcement Learning: Zero to Hero
6.3K views
2:22:49
Evolution of Neural Networks: Zero to Hero
Shared 10 months ago
2.5K views
27:20
Evolution of back propagation: Who invented it?
963 views
13:34
Mutli layer perceptron - Explained!
Shared 11 months ago
23:53
Boltzmann Machine - Explained!
6.9K views
21:15
Hopfield Networks - Explained!
5.4K views
18:09
ADALINE: Adaptive Linear Neurons - EXPLAINED!
Shared 1 year ago
1.8K views
28:37
Perceptron - Explained!
20:26
The first artificial neuron - Explained!
14:13
LLM Agents - Explained!
7.3K views
18:05
LLM Self-Taught Reasoning - Explained!
4.5K views
8:34
Chain-of-thought prompting - Explained!
19K views
29:22
LoRA - Explained!
18K views
23:07
LLM (Parameter Efficient) Fine Tuning - Explained!
9.4K views
30:00
RAG - Explained!
6.2K views
13:31
genAI - EXPLAINED!
4K views
17:48
genAI vs ChatGPT vs LLMs - Buzzwords Explained!
3.9K views
45:22
Informer: Training and Inference
1:27:01
Informer: Complete Code from scratch!
2.9K views
38:01
Informer: complete architecture EXPLAINED!
2.8K views
26:11
Informer Encoder architecture - EXPLAINED!
24:59
Informer embeddings - EXPLAINED!
25:05
Informer distillation - EXPLAINED!
36:06
Informer attention code - FROM SCRATCH!
3.1K views
19:23
Informer attention Architecture - FROM SCRATCH!
5.7K views
15:17
Informer: Time series Transformer - EXPLAINED!
27K views
16:32
Hyper parameters - EXPLAINED!
3.2K views
15:54
How much training data does a neural network need?
3.7K views
13:21
NLP with Neural Networks | ngram to LLMs
4.2K views
16:22
Transfer Learning - EXPLAINED!
8.2K views
12:58
Embeddings - EXPLAINED!
13K views
17:00
Batch Normalization in neural networks - EXPLAINED!
Shared 2 years ago
8.8K views