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Developing a Webcam Arcade Controller using Deep Learning by TensorFlow & Keras

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Rika P. and 2 others
Developing a Webcam Arcade Controller using Deep Learning by TensorFlow & Keras

Details

We're happy to invite you to our event @ Campus TLV.

Are you a developer that is continually hearing about Deep Learning and wondering what all the fuss is about?
You came to the right event!

We will introduce Deep Learning, demo a DL model in action, introduce an architecture for training and use of such model in a production environment, and show some critical sections of the code.

** To ensure your participation, please fill out this form:
https://docs.google.com/forms/d/e/1FAIpQLSeZqsm9le0RHyiQ34lKi6X3jB3bfOFYQQ4cAD4iowUykBL8kA/viewform?usp=pp_url&entry.801673747=+TensorFlow+%26+Keras

17:00 -17:30 - Reception, Networking, Coffee & Cake

17:30 - 19:15 - Lectures:

  • Demo - Control video game using Deep Learning (15 min) - by Haim Cohen, Big Data Architect from Tikal.
    We will demo an application which makes use of deep learning in order to control a video game through webcam and head gestures.

  • Deep Learning - Starting Now (20 min) - by Shai Tal, Data Scientist and Machine Learning Engineer from Tikal.
    Deep learning is a tool. And tools need to be understood.
    We will briefly discuss the practical benefits of machine learning over programming, and the benefits of deep learning over classic machine learning for building visualisation and NLP models.

  • Deep Learning API's & Architecture (30 min) by Haim Cohen.
    We will Introduce TensorFlow & Keras through code examples, go through main parts of the demo application and talk about the architecture of the demo application and other Deep Learning based systems.

  • DevOps Concerns for Deep Learning Systems (30 min) - by Haggai Philip Zagury, DevOps Architect from Tikal.

** Here is the registration form again:
https://docs.google.com/forms/d/e/1FAIpQLSeZqsm9le0RHyiQ34lKi6X3jB3bfOFYQQ4cAD4iowUykBL8kA/viewform?usp=pp_url&entry.801673747=+TensorFlow+%26+Keras

Hope to see you all,
TIKAL Team

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