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added workshops, working on readme in progress
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FisherKK committed Dec 24, 2018
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44 changes: 44 additions & 0 deletions Workshops/README.md
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### Description
In the following repo I am storing **exercises and presentations I have prepared in order to teach Machine Learning and Deep Learning to others** on various occasions.

As preparation of this content took months **I would like show it to people personally** rather than just distribute it. All materials have been already used in real workshop sessions led by me.

I have provided small showcases of what content can be found inside.

### Content

#### [PL] Intro to Deep Learning on Images ([repo]())
**Required time**: (~6 hours needed)

1. Exercise 1
- Presentation - Deep Learning in a nutshell
- MNIST Part 1 - Data Preprocessing
- Presentation - Introduction to Keras
- MNIST Part 2 - Building first Neural Network
2. Exercise 2
- FashionMNIST Part 1 - Introduction to Dropout
- Presentation - Convolutional Neural Networks
- FashionMNIST Part 2 - Improving MLP result with CNN
3. Exercise 3
- CIFAR10 - Testing what you have learned, trying to get above 65% accuracy
- Showcase - Using VGG19 architecture to go above 85% accuracy
4. Bonus
- Transfer Learning in Keras with Resnet50
- EMNIST - Additional exercise
- Showcase - Weight Initializers
- Showcase - Batch Normalization


#### [PL] Intro to Machine Learning and Deep Learning ([repo]())
**Required time**: (~16 hours needed)

Machine Learning part:

Deep Learning part:

#### [PL] Intro to NLP - Bag of Words ([repo]())
**Required time**: (up to 2 hours)

1. Presentation - basic theory behind Random Forest Classifier and Bag of Words
2. Exercise - End-to-End building of Programming Language Classifier: loading data, analyzing data, cleaning data, building baseline classifier, optimizing hyperparameters and using model for prediction
3. Homework - Spam&Ham classifier with bag of words written from scratch in raw Python
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