Neural Networks for Swift Developers

Students will learn the architecture of a Neural Network.

Students will learn how a Neural Network is trained AKA Deep Learning.

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!