Program Overview

Responsible Deployment of Deep Learning

Overview

This module is the third and final part of the "Neuron Networks and Deep Learning" certificate. The objective is to deploy a responsible solution based on deep learning, focusing on interpretability and social and ethical implications.

Objectives

• An understanding of deep neural networks
• Concrete experience with the deployment and hosting of an AI model
• The tools to design responsible deep learning solutions that meet social and ethical challenges

Content

Day 1: Interpretability of Artificial Neural Networks

• How to understand and explain what happens in an artificial neural network?
• Modeling in the form of a “black box”
• Main concepts: interpretability, action plan and policy of a model, and the Python SHAP and LIME libraries

Day 2: Deployment of a Deep Learning Model

• Concrete example of the deployment of a deep learning and focus model on a few specialized frameworks
• Main concepts: deployment, data science workload and Strealit and FastAPI frameworks

Day 3: Responsible Deployment of a Deep Learning Model

• Focus on the interpretability of a model and consideration of the social and ethical implications of deep learning
• Main concepts: deep learning models, interpretability, deployment

Program Details

• Prerequisites: Previous knowledge in data science and machine learning
• Location: Cachan
• **Duration of the training: 4 days
• Dates: May 16, June 6 June 13 and 14
• Price: € 1950 excluding VAT

Support for Individuals with Disabilities

• Our training programs are open to everyone
• If you have specific needs, especially related to a disability, please do not hesitate to contact us
• Our team is ready to welcome you and address your needs
• Find the welcome guide and all the information about the support and assistance available for our students and participants with disabilities!