Neural Networks for Swift Developers

Neural Networks for Swift Developers, available at Free, has an average rating of 3, with 9 lectures, based on 21 reviews, and has 1058 subscribers.

You will learn about 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) This course is ideal for individuals who are IOS Developers seeking to build Neural Networks. It is particularly useful for IOS Developers seeking to build Neural Networks.

Enroll now: Neural Networks for Swift Developers

Summary

Title: Neural Networks for Swift Developers

Price: Free

Average Rating: 3

Number of Lectures: 9

Number of Published Lectures: 9

Number of Curriculum Items: 9

Number of Published Curriculum Objects: 9

Original Price: Free

Quality Status: approved

Status: Live

What You Will 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)

Who Should Attend

IOS Developers seeking to build Neural Networks.

Target Audiences

IOS Developers seeking to build Neural Networks.

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!

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Chapter 2: Neural Network Architecture

Lecture 1: Neural Networks Overview

Chapter 3: Neural Network Training

Lecture 1: Back Propagation

Chapter 4: Apple Accelerate Neural Network

Lecture 1: Project 1: Build Swift Neural Network 100% programmatically.

Lecture 2: BNNS vs MPSCNN

Chapter 5: Apple Vision Framework

Lecture 1: Project 2: ConvNets/CNNs

Chapter 6: Apple's Machine Learning Models CoreML

Lecture 1: Project 3: CoreML-1

Lecture 2: Project 4: CoreML-2

Lecture 3: CoreML Tools in 8 EZ Steps!

Instructors

Brian Rouse
Data Scientist / iOS Instructor

Rating Distribution

1 stars: 4 votes
2 stars: 3 votes
3 stars: 2 votes
4 stars: 3 votes
5 stars: 9 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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