Organization.txt

Etapa 1: Machine Learning si putin Deep Learning.
Etapa 2 (probabil): ML, Natural Language Processing si Computer Vision

Baraj: 
E voie internet
Sa avem un laptop sa fim siguri, (Google Colab)
Fara ChatGPT.
Pot veni cu propria tastatura.

TODO: 
Learn PyTorch and sklearn, and do it FUST AS FUCK BOY!
https://www.youtube.com/watch?v=9nEh-OXVaNI
https://www.youtube.com/watch?v=IC0_FRiX-sw&list=PL_lsbAsL_o2CTlGHgMxNrKhzP97BaG9ZN&index=1

DONE: 
PyML
Nitro NLP: Intro to Machine Learning
Nitro NLP: Introduction to Deep Learning
Nitro NLP: Natural Language Processing
#Jumping over: Nitro NLP: Python & Data Visualization
# Watch later: Nitro NLP: Artificial Intelligence and Us
Nitro NLP: Transfer Learning & Transformers
https://www.youtube.com/watch?v=81NJgoR5RfY&list=PLqnslRFeH2UrcDBWF5mfPGpqQDSta6VK4&index=22 #DONE
#Jumping over episode 18

https://karpathy.github.io/2015/05/21/rnn-effectiveness/
https://stanford.edu/~shervine/teaching/cs-230/cheatsheet-recurrent-neural-networks#architecture
https://github.com/patrickloeber
https://github.com/patrickloeber/pytorch-examples
https://github.com/patrickloeber/pytorchTutorial
https://pytorch.org/docs/stable/generated/torch.nn.RNN.html
https://pytorch.org/docs/stable/generated/torch.nn.LSTM.html
https://pytorch.org/docs/stable/generated/torch.nn.GRU.html