The Python Masterclass: Build AI, ML and TensorFlow Models

A complete & comprehensive course in which you create a portfolio of apps driven by machine learning with data & models!

This course was funded by a #1 Kickstarter project.

You will learn how to use the beginner CIFAR 10 and advanced CIFAR 100 image datasets for machine learning. You will also build scientific analysis apps for facial detection and emotion detection in photographs.

You will learn to build 3 apps with machine learning models. Projects from this course include include object–localization, image/text classification, and text summarizer. Together we will import a model built in PyCharm into Android Studio with a multi–step process. From scratch we will build a simple digit recognition project using the MNIST handwritten digit database.

Learn to analyze data (or past experiences) to make decisions or predict the future.

You will learn how the TensorFlow estimator differs from other computational graphs. Learn how to improve your projects to make faster apps and more accurate models. Learn where to use TensorBoard: Visualizing Learning

Then we will dive through TensorBoard examples. You will learn Python language fundamentals to build and run Python projects. Likewise you will learn Java language fundamentals to build and run Android projects.

You will discover applications of machine learning and where we use machine learning daily. Explore different machine learning mechanisms and commonly used algorithms. Learn how TensorFlow makes machine learning development easier.