author: @laura_uzcategui
credits to: Laurence Moroney, borrowed images and functions from his Tensorflow in Practice course.
On this workshop you will learn a bit more about Machine Learning in general and you will build a model that will help you grasp the following:
The workshop is divided in 2 sections, one for tackling the basics and to get you started in tensorflow and keras and the second part where we will be building a Convolutional Neural Net to build an image classifier
- Basics of Tensorflow and Keras
- How to build a model
- What are Optimizer and Loss functions and why you need them?
- You will train a Model and get predictions
- Preprocessing your data
- Obtain your data
- Load your data using image generator
- Explore your data
- Image classification and Neural Networks
- Build a model
- Configure
- Train your model
- Test it :)
Bonus points: If we have time, we will go through an explanation of Data Augmentation
Note: The following notebooks have functionality that only works in Google Colab. If you would like to make it work locally you might need to remove this functions.