The goal of this course is to show the Swift Programmer how to build, learn and run a Neural Network using Swift. This is a minor list of what the iOS developer will learn. To see a list of everything the developer will learn please click on the curriculum link for this course.
Students will learn the architecture of a Neural Network.
Students will build an XOR Neural Network with pure Swift.
Students will build an App that compares the Deep Learning Speed of a Metal Performance Shaders Convolutional Neural Network (MPSCNN) GPU Framework versus the Basic Neural Network Subroutine (BNNS) Accelerate CPU framework.
Students will build a ConvNet using Apple's Vision API. Students will implement an image analysis request using VNDetectRectangles Request to build a deep learning app that identifies faces in an image.
Students will build a CoreML application using the Places205-GoogLeNet model.
Project 4: CoreML-2 Students will concatenate two of Apples machine learning frameworks with a model to implement a neural network from scratch.
Students will install && build a CoreML model from scratch in 8 Easy Steps!
Brian Rouse is a seasoned programmer that cut his teeth programming with Visual Studio in 2001 and has since learned a long array of event-driven as well as Object-Oriented Languages. With 16 years of programming experience and an Ivy League degree to his credit, Brian has implemented and sold a HIPAA compliant EHR system to a major health system in NE Ohio and many more applications in the medical and legal field. Brian Rouse is also the author of the award winning WoR Krush and Defcon One Max Ready Apps in the App store.