36:06
Informer: Time Series Attention Code
19:23
Informer: Time Series Attention Architecture
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!
08:14
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
10:17
Reinforcement Learning through Human Feedback - EXPLAINED! | RLHF
13:26
Proximal Policy Optimization | ChatGPT uses this
10:51
Deep Q-Networks Explained!
11:49
Monte Carlo in Reinforcement Learning
14:47
Reinforcement Learning: on-policy vs off-policy algorithms
11:54
Q-learning - Explained!
10:11
Foundation of Q-learning | Temporal Difference Learning explained!
09:05
Bellman Equation - Explained!
08:04
How to solve problems with Reinforcement Learning | Markov Decision Process
10:33
Multi Armed Bandits - Reinforcement Learning Explained!
13:12
Elements of Reinforcement Learning
49:14
ChatGPT: Zero to Hero
03:34:41
[ 100k Special ] Transformers: Zero to Hero
13:34
20 papers to master Language modeling?
11:44
Llama - EXPLAINED!
16:59
How AI (like ChatGPT) understands word sequences.
19:05
Convolution in NLP
13:20
Word2Vec, GloVe, FastText- EXPLAINED!
10:06
Word Embeddings - EXPLAINED!
15:59
NLP - EXPLAINED!
07:09
The Origin of Language Models (like ChatGPT)
17:50
Building a Translator with Transformers
14:39
ChatGPT couldn't help...can you? [RESOLVED by you]
07:06
The complete Transformer Neural Network Code in 300 lines!
27:53
The complete guide to Transformer neural Networks!
19:12
Sentence Tokenization in Transformer Code from scratch!
39:54
Transformer Decoder coded from scratch
25:59
Blowing up Transformer Decoder architecture
49:54
Transformer Encoder in 100 lines of code!
20:58
Blowing up the Transformer Encoder!
13:34
Layer Normalization - EXPLAINED (in Transformer Neural Networks)
11:54
Positional Encoding in Transformer Neural Networks Explained
15:59
Multi Head Attention in Transformer Neural Networks with Code!
15:02
Self Attention in Transformer Neural Networks (with Code!)
09:11
GPT - Explained!
16:58
What does GPT in ChatGPT do?
15:53
ChatGPT and Reinforcement Learning
17:56
Chat GPT Rewards Model Explained!
10:28
ChatGPT - Explained!
09:01
Curse of Dimensionality - EXPLAINED!
10:55
Cross Validation Explained!
09:45
Bias Variance Tradeoff Explained!
12:44
Regularization - Explained!
10:34
Logistic Regression - Is it Linear Regression?
13:04
Breaking Linear Regression
27:35
Probability for Machine Learning!
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