Neural Networks for Swift Developers
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Neural Networks for Swift Developers

The iOS Programmers guide to Neural Networks
New
0.0 (0 ratings)
Instead of using a simple lifetime average, Udemy calculates a course's star rating by considering a number of different factors such as the number of ratings, the age of ratings, and the likelihood of fraudulent ratings.
209 students enrolled
Last updated 9/2017
English
Current price: $12 Original price: $200 Discount: 94% off
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Includes:
  • 1.5 hours on-demand video
  • 9 Supplemental Resources
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion

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What Will I Learn?
  • Build 4 Neural Networks in Swift
  • BNNS (Basic Neural Network Subroutines)
  • Apple Accelerate Framework
  • Core ML
  • Convolutional Neural Network (ConvNet)
  • MobileNet
  • ResNet50
  • SqueezeNet
  • Inceptionv3
  • Deep Learning/Deep Neural Networks (DNN)
View Curriculum
Requirements
  • Student should be able to read and write code in Swift.
Description

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.

  • Artificial Intelligence
  • Machine Learning
  • Swift AI
  • Deep Learning
  • Swift Machine Learning Models 
  • Apples Machine Learning APIs
  • Build 4 Neural Networks with pure Swift!
Who is the target audience?
  • IOS Developers seeking to build Neural Networks.
Compare to Other Neural Networks Courses
Curriculum For This Course
9 Lectures
01:25:51
+
Introduction
1 Lecture 03:04

Neural Networks for Swift Developers

The iOS Programmers guide to Neural Networks

Course Summary

Preview 03:04
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Neural Network Architecture
1 Lecture 10:09

Students will learn the architecture of a Neural Network.

Neural Networks Overview
10:09
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Neural Network Training
1 Lecture 10:07

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

Preview 10:07
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Apple Accelerate Neural Network
2 Lectures 18:57

Students will build an XOR Neural Network with pure Swift.

Project 1: Build Swift Neural Network 100% programmatically.
07:18

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.

BNNS vs MPSCNN
11:39
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Apple Vision Framework
1 Lecture 11:00

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.

Project 2: ConvNets/CNNs
11:00
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Apple's Machine Learning Models CoreML
3 Lectures 32:34

Students will build a CoreML application using the Places205-GoogLeNet model.

Project 3: CoreML-1
09:36

Project 4: CoreML-2 Students will concatenate two of Apples machine learning frameworks with a model to implement a neural network from scratch.

Project 4: CoreML-2
14:15

Students will install && build a CoreML model from scratch in 8 Easy Steps!

CoreML Tools in 8 EZ Steps!
08:43
About the Instructor
Brian Rouse/M.S.C.S.
4.1 Average rating
14 Reviews
3,371 Students
4 Courses
Swift 4, IOS Instructor

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.