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.
By the end of this course you will be able to create computational models from start to finish in a logical way. You will have tools to train and test a model and use it for future predictions. You will know how to make a linear regression model to fit a line through data and predict values.
Use Tools with Android Support, Python and Java
Together we build apps, learn PyCharm, Android Studio, Machine Learning, TensorFlow models, TensorBoard, and so much more in this epic artificial intelligence course
You can expect a complete and comprehensive course that guides you first through the basics, then through simple models. You will end up with a portfolio of apps driven by machine learning, as well as the know-how to create more and expand upon what we build together.
You will go step by step from the basics of the languages, programs, and underlying concepts of machine learning. You will become an expert ready to build your own machine learning-driven mobile apps, which are the future in mobile app development. We use frameworks like TensorFlow that make it easy to build, train, test, and use machine learning models.
Enroll now to join the Mammoth community!