Using Python to Implement a Complete Machine Learning Flow
✅ indicates CONFIRMED TO RUN
- Datum: woensdag 26 augustus, 2020
- Duur: 1 uur (met live Q&A)
- Tijd: 11:00 – 12:00
- Spreker: John Aynsley
- Prijs: GRATIS!
In this webinar we will take a fresh look at both Python and Machine Learning.
We will 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 will describe some of the machine learning principles being used, although the focus here is on the coding, not the theory.
The webinar will explore 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.
In summary, the webinar will cover:
- 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.
Doulos Co-Founder and Technical Fellow, John Aynsley, will be presenting this training webinar, which will consist of a one-hour session (see below for details) and be interactive with Q&A participation from attendees.
Attendance is free of charge. Register Now.
26 augustus 2020 - 28 augustus 2020