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Machine Learning: Coding Deep Neural Networks

AGES
13 - 18 (Must turn 13 by 12-31-18)
SKILL LEVEL
Beginner–Advanced
PATH
Coding
PROGRAM
iD Coding & Engineering Academy | Two-week
PREREQUISITE
None
TOOLS
Python, PyCharm, TensorFlow

Machine Learning: Coding Deep Neural Networks

Course Description

If you had to choose between a computer or a doctor to detect and analyze early signs of cancer, which would you choose?

Why not both? Machine learning methods, while formalized in the 1950s, have only recently become powerful enough to make a huge impact. These deep learning methods have performed better at early cancer detection than professional radiologists! From image detection and Snapchat filters to Natural Language Processing and Siri, machine learning is ready to push our technology into the future.

Start with Python, TensorFlow, and a lot of data to begin building neural networks and reward your computer for succeeding at its goals! Tweak your reward schemes and process your data so you can see your computer improve its learning. Then, put your skills to the test in environments used by professional researchers like Deepmind's Starcraft 2 Learning Environment.

In this course, your student will:

  • Use TensorFlow to create a neural network
  • Explore machine learning with Python
  • Train models to learn without being directly coded
  • Optimize learning rates
  • Develop coding and logical thinking skills

Your student will take home:

  • Project files
  • Digital portfolio for college admissions

Click the button below to continue, or learn more about our Coding Path.

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