In this webinar, Toradex partner, Doulos, takes a fresh look at both Python and Machine Learning.
We show how to implement, train, and run a simple neural network model, taking advantage of the Keras API used by TensorFlow, because very few people code neural networks from scratch in Python these days. Along the way, we describe some of the machine learning principles being used, although the focus here is on the coding, not the theory.
The webinar explores the Python language features needed both to prepare datasets and to code and train neural network models and examine the options available for using Python across the whole machine learning flow, from data gathering and curation through model training to deployment.
- How to code up neural network models using Python and Keras
- How to prepare datasets using Python, Numpy, and Pandas
- The front-to-back machine learning flow