Deep learning course:

1. (11/10/2022)DG 3 ore: Deep Learning introduction - Concept Intro DL
2. (13/10/2022)DG 3 ore: Colab - review Python+ML concept and libraries Disillusioni DL Train Test Overfitting DL Bias-Variance DL Bible ML-DL
3. (17/10/2022)DG 3 ore: Deep Learning Keras - Terminologia -concetti ed intro a Keras per regression
4. (18/10/2022)MR 3 ore: Deep Learning with Python (Class, Function, Numpy array, Tensor, List) Extra: Excercise Covid (Pandas) Extra: Excercise Covid (Plolty-Pandas) Book Machine learning - Deep learning
5. (20/10/2022)DG 3 ore: Classification with NN (Keras) PDF
6. (25/10/2022) DG 3 ore: Classification + Intro CNN
7. (26/10/2022) MR 2 ore: Pytorch Intro Therory Sine Approximation example Extra: Exercise regression + Pipeline Deep Learning Example Feedforward Step
8. (27/10/2022) MR 2 ore: Training Pytorch
9. 29/10/2022)MR 2 ore: Understand Images, Convolution, DataLoader Extra: Approfondimento in dettaglio
10. (03/11/2022) DG 3 ore: Image Classification Keras from Scratch
11. (07/11/2022) DG 3 ore: TL with Keras Flowers TL with Keras Tomatoes Haar Cascade Colab Grad Cam Example [Tkinter_app ZIP]https://frenzy86.s3.eu-west-2.amazonaws.com/python/data/tkinter_app.zip
12. (08/11/2022) MR 3 ore: Convolutional Neural Network Covid-19 Mask Classifier Convolutional Neural Network Covid-19 Mask Classifier Class Example
13. (11/11/2022)DG 3 ore: Intro regular Expression Regular_Expression_PDF
14. (14/11/2022)DG 3 ore: NLP concepts: Spacy examples
15. (15/11/2022)MR 3 ore: Transfer Learning Applied to Classification Transfer Learning Notes convnext_base transfer learning
16. (16/11/2022)DG 3 ore: NLP-part1 NLP-part2 Gensim Topic Modelling IMDB with RNN-LSTM model
17. (17/11/2022)DG 3 ore: RNN_LSTM TRANSFORMERS_P1TRANSFORMERS_P2
18. (21/11/2022)DG 3 ore: Deep Learning Cheatsheet Cheatsheet TS intro