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.
27:50
Evolution of Autoencoders - Explained!
CodeEmporium
Shared 6 days ago
869 views
24:06
DINO - Explained!
Shared 2 weeks ago
884 views
13:25
Knowledge Distillation in Neural Networks - Explained!
Shared 3 weeks ago
1.1K views
13:27
CLIP - Explained!
Shared 1 month ago
1.5K views
27:55
Swin transformer - Explained!
2.3K views
18:03
DETR - Explained!
Shared 3 months ago
2.5K views
22:21
Vision Transformers - Explained!
5.7K views
27:31
Feature Pyramid Networks - Explained!
Shared 4 months ago
1.2K views
15:16
Depthwise Separable Convolutions - Explained!
1.7K views
28:46
Mask R-CNN - Explained!
1.6K views
24:02
YOLO - Explained!
28:50
Faster R-CNN - Explained!
Shared 5 months ago
3K views
16:13
ResNet - Explained!
4.2K views
36:56
Fast R-CNN - Explained!
3.2K views
14:04
VGGNet - Explained!
2.2K views
15:46
Inception Net - Explained! (with code)
Shared 6 months ago
22:01
Pointwise Convolutions - EXPLAINED (with code)
22:44
Deconvolution - what do networks learn? (visualization + code)
18:18
R-CNN - Explained!
Shared 7 months ago
15:13
Region Proposals - Explained!
15:24
Image segmentation - Explained!
2.6K views
15:06
How was object detection done before neural networks?
1K views
22:50
Why neural networks are so deep? (AlexNet - Explained)
Shared 8 months ago
37:38
Visualizing convolution networks
1.3K views
14:31
Why convolution networks work so well (on images)
1.4K 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 9 months ago
33:13
Where did convolution networks come from?
Shared 10 months ago
1.9K views
15:33
Primary Visual Cortex: How brain processes what we see
Shared 11 months ago
12:50
Receptive Fields - Explained
4K views
11:39
Visual Pathway - Explained
8:41
Vision: Structure of the eye - Explained!
1.8K views
1:38:01
Reinforcement Learning: Zero to Hero
Shared 1 year ago
6.8K views
2:22:49
Evolution of Neural Networks: Zero to Hero
27:20
Evolution of back propagation: Who invented it?
987 views
13:34
Mutli layer perceptron - Explained!
23:53
Boltzmann Machine - Explained!
7.8K views
21:15
Hopfield Networks - Explained!
6.4K views
18:09
ADALINE: Adaptive Linear Neurons - EXPLAINED!
2K views
28:37
Perceptron - Explained!
20:26
The first artificial neuron - Explained!
14:13
LLM Agents - Explained!
7.7K views
18:05
LLM Self-Taught Reasoning - Explained!
4.8K views
8:34
Chain-of-thought prompting - Explained!
21K views
29:22
LoRA - Explained!
20K views
23:07
LLM (Parameter Efficient) Fine Tuning - Explained!
10K views
30:00
RAG - Explained!
13:31
genAI - EXPLAINED!
4.1K views
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!
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!
5.8K views
15:17
Informer: Time series Transformer - EXPLAINED!
28K views
16:32
Hyper parameters - EXPLAINED!
3.4K views
15:54
How much training data does a neural network need?
Shared 2 years ago
3.8K views