Ce MOOC est la plate-forme edX.
Il est présenté par Microsoft.
- In Module 1, you’ll have a flavor of the different concepts
getting introduced in the form of different application where
deep learning is being used, and a high level modeling work
flow that we will be using throughout the later modules. - In Module 2, we will cover logistic regression with
an application in optical character recognition.
We will use the optical character recognition
application in module three and four as well. - In Module 3, we will use Multi-layer perceptron
base models for the task. - And in Module 4, we will use convolution network for
the same optical character recognition task. - In Module 5, we will introduce time-series
modeling using deep networks. - In Module 6, we will going to text modeling,
we’ll specifically use long-short term memory
recurrence units for text classification.
Les exemples et exercices de ce MOOC utilisent CNTK. Plutôt que d’installer CNTK sur ma machine (qui n’est ni Linux ni Windows) (un MAC !) j’ai choisi l’autre option proposée par le MOOC : Using the Azure Notebooks
