Application Development with TensorFlow & Keras

Course Number:

PYTH-150

Duration:

2 Days

Prerequisites:

All students should have programming experience, familiarity with Python 3, and basic knowledge of web-applications (i.e., how the HTTP protocol works). Knowledge of the following topics are useful, but not required:

• Machine learning concepts such as the bias and variance tradeoff, and accuracy estimation methods
• Familiarity with other machine learning algorithms such as Support Vector Machines, Adaptive Boosting (a.k.a. "AdaBoost"), Naïve Bayes, and Logistic Regression
• Knowledge of statistics, probability, linear algebra, and calculus
• Experience with data-provisioning systems, including file systems (local and remote) and databases (SQL and NoSQL)

Training Materials:

All TensorFlow students receive comprehensive courseware covering all topics in the class.

Software needed for each student PC:

• Windows, MacOS, or Linux
• Anaconda or comparable Python distribution with TensorFlow and Keras installed
• PyCharm, Spyder, or comparable Python IDE
• Related lab files that Accelebrate provides
• Internet access for all attendees and the instructor
• For classes delivered online, all participants need either dual monitors or a separate device logged into the online session so that they can do their work on one screen and watch the instructor on the other. A separate computer connected to a projector or large screen TV would be another way for students to see the instructor's screen simultaneously with working on their own.

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