Artificial Intelligence, Unity, and Python Neural Nets Tutorial: Part 1

Publié le: 01 octobre 2020
sur la chaîne: Daniel Hampikian

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In this tutorial I show you how to make an artificial neural network in python and explain the theoretical foundations of artificial intelligence, machine learning, reinforcement learning, and deep neural nets. It is an introductory tutorial that is the first in a series where I will take us through increasingly complex examples of how to make artificial intelligence with deep neural nets up through reinforcement learning agents that learn on their own and can be seen learning and behaving in Unity’s ML agent implementation. But first the theoretical foundations and basic examples of the python language and libraries that this more complex form of Artificial Intelligence uses. Enjoy!

Outline:
AI Theory
Python Examples

Learning resources:

Kaggle: https://www.kaggle.com/learn/overview
Google Colab: https://colab.research.google.com/
Jeff Heaton:    / @heatonresearch
Analytics Vidhya:    / @analyticsvidhya
Deep Lizard:    / deeplizard
Freecodecamp tutorial on keras:    • Keras with TensorFlow Course - Python Deep...
Udacity machine learning for trading: https://classroom.udacity.com/courses...
Tensorflow Tutorials: https://www.tensorflow.org/hub/tutori...
Unity Learn ML Agents free course: https://learn.unity.com/course/ml-age...
Immersive Limit:    / @immersivelimit

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