Introduction to Deep Learning Models
- Offered byOpenClassrooms
Introduction to Deep Learning Models at OpenClassrooms Overview
Introduction to Deep Learning Models
at OpenClassrooms
Duration | 8 hours |
Total fee | Free |
Mode of learning | Online |
Difficulty level | Advanced |
Official Website | Explore Free Course  |
Credential | Certificate |
Introduction to Deep Learning Models at OpenClassrooms Highlights
Introduction to Deep Learning Models
at OpenClassrooms
- Earn a certificate of completion from Openclassroom
Introduction to Deep Learning Models at OpenClassrooms Course details
Introduction to Deep Learning Models
at OpenClassrooms
What are the course deliverables?
- This course is a
- practical introduction
- to neural networks. ^^
- Throughout the course, you will learn:
- How to train a simple deep learning model.
- How to train advanced deep learning models.
More about this course
- From Tesla's self-driving cars, to cashier-free shopping, to Google Translate, neural networks are at the heart of so many of today's innovations
Introduction to Deep Learning Models at OpenClassrooms Curriculum
Introduction to Deep Learning Models
at OpenClassrooms
Part #1 - Prepare to Train a Deep Learning Model
Part #2 - Train Simple Deep Learning Models
Part #3 - Train Advanced Deep Learning Models
Introduction to Deep Learning Models at OpenClassrooms Faculty details
Introduction to Deep Learning Models
at OpenClassrooms
Radu Nedelcu
Designation : Director at Disruptive Engineering Ltd. Software turned AI engineer. At the crossroads of business and data.
Introduction to Deep Learning Models at OpenClassrooms Entry Requirements
Introduction to Deep Learning Models
at OpenClassrooms
Eligibility criteria
- Prerequisites: Knowledge in machine learning, cross validation, and scoring machine learning algorithms Knowledge about splitting datasets for machine learning Knowledge in Python If you are unfamiliar with these concepts, we highly encourage you to take the following course: Train a Supervised Machine Learning Model , Learn Python Basics for Data Analytics , and Use Python Libraries for Data Science
Conditional Offer
- Not mentioned
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