Tulsa Data Science: Python for Neural Networks (Fall 2018)

About the Meetup

Our Monday night workshops (9/10 - 12/3) are geared towards cultivating a proficiency in neural network development (through Python), in the format of a course.

Workshop + Course format:

• Each workshop builds on the previous: starting from an intro to Python, we lead up to neural network development (and include a hand-written image recognition project!)
• New Member? Join us! All materials are self-contained, and can be followed along by new arrivals. (And if we fail in this goal, let us know!)
• Pace too fast? The course has clear checkpoints along the way, and restarts witheach semester. Feel free to continue your practice (right where it gets uncomfortable), and meet us again! All posted materials are intended to guide your practice, and can be used at your own pace.

Syllabus:

9/10: Getting Started

• Sign into Github
• Sign into Slack
• Download Git
• Download Anaconda
• Download Tensorflow
• Download Keras

9/17: Intro to Python

• Troubleshoot installation
• Environment Testing

9/24: Intro to Machine Learning + Neural Network Math

10/01: Intro to Keras

10/08: Build a model from scratch

10/15: Build a model with Keras

10/22: Cross-validation

10/29: Building Neural Networks

11/05: Project: Hand-written digits (slicing operations)

11/12: Data Augmentation

11/19: Performance Tests

11/26: Cloud Computing

12/03: TBD

Original repositories:

• Lecture: https://github.com/Tulsa-Data-Science/Basic-tutorials
• Image Recognition Project: https://github.com/Tulsa-Data-Science/Playground