Please subscribe to keep me alive: https://www.youtube.com/c/CodeEmporiu...
BLOG: / dataemporium
PLAYLISTS FROM MY CHANNEL
⭕ Reinforcement Learning: • Reinforcement Learning 101
Natural Language Processing: • Natural Language Processing 101
⭕ Transformers from Scratch: • Natural Language Processing 101
⭕ ChatGPT Playlist: • ChatGPT
⭕ Convolutional Neural Networks: • Convolution Neural Networks
⭕ The Math You Should Know : • The Math You Should Know
⭕ Probability Theory for Machine Learning: • Probability Theory for Machine Learning
⭕ Coding Machine Learning: • Code Machine Learning
MATH COURSES (7 day free trial)
Mathematics for Machine Learning: https://imp.i384100.net/MathML
Calculus: https://imp.i384100.net/Calculus
Statistics for Data Science: https://imp.i384100.net/AdvancedStati...
Bayesian Statistics: https://imp.i384100.net/BayesianStati...
Linear Algebra: https://imp.i384100.net/LinearAlgebra
Probability: https://imp.i384100.net/Probability
OTHER RELATED COURSES (7 day free trial)
⭐ Deep Learning Specialization: https://imp.i384100.net/DeepLearning
Python for Everybody: https://imp.i384100.net/python
MLOps Course: https://imp.i384100.net/MLOps
Natural Language Processing (NLP): https://imp.i384100.net/NLP
Machine Learning in Production: https://imp.i384100.net/MLProduction
Data Science Specialization: https://imp.i384100.net/DataScience
Tensorflow: https://imp.i384100.net/Tensorflow
REFERENCES
[1] The main Paper: https://arxiv.org/abs/1706.03762
[2] Tensor2Tensor has some code with a tutorial: https://www.tensorflow.org/tutorials/...
[3] Transformer very intuitively explained Amazing: http://jalammar.github.io/illustrated...
[4] Medium Blog on intuitive explanation: / whatisatransformer
[5] Pretrained word embeddings: https://nlp.stanford.edu/projects/glove/
[6] Intuitive explanation of Layer normalization: https://mlexplained.com/2018/11/30/an...
[7] Paper that gives even better results than transformers (Pervasive Attention): https://arxiv.org/abs/1808.03867
[8] BERT uses transformers to pretrain neural nets for common NLP tasks. : https://ai.googleblog.com/2018/11/ope...
[9] Stanford Lecture on RNN: http://cs231n.stanford.edu/slides/201...
[10] Colah’s Blog: https://colah.github.io/posts/201508...
[11] Wiki for timeseries of events: https://en.wikipedia.org/wiki/Transfo...)