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Total apprenants : 85
Taux de réussite : 83 %
Discover the advanced technique of Deep Learning and build your own deep neural network to tackle a real world Data Science problem, by using TensorFlow, the most popular Machine Learning library in the world!
AUDIENCE: Anyone with software development bases wishing to develop a new skill.
THANKS FOR YOUR ENROLLMENT.
Please plan to arrive a few minutes early.
Please have a computer that you can install software on, with Chrome browser and a Gmail account.
The next available session (date, time, method of face-to-face participation or webinar) is displayed under the blue button “take this training”.
If no session is offered, contact us via the page: Contact.
Beforehand, read the Internal regulations
If you have any questions, please do not hesitate to contact us by email: firstname.lastname@example.org
Before registering, check that you have the required level, by carrying out the Test accessible on this link
Build software that can recognize handwritten numbers!
Handwriting recognition is a recurring problem for La Poste, the banking industry and any company that needs to analyze handwritten documents. Your challenge is to use Deep Learning to develop an AI capable of recognizing handwritten numbers from an image!
You can use the completed project to present it in your portfolio.
This training was co-designed by Camilo Rodriguez (trainer in schools of engineers, consultant and developer in Artificial Intelligence) and Hamed Zitoun (Data Scientist and Machine Learning Engineer).
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