Learn to build caltech-101 image classifier mobile app
Learn to build caltech-101 image classifier mobile app, available at $19.99, with 21 lectures.
You will learn about Learn to build caltech-101 image classifier mobile app This course is ideal for individuals who are Beginner iOS developers who would like to build mobile apps using deep learning It is particularly useful for Beginner iOS developers who would like to build mobile apps using deep learning.
Enroll now: Learn to build caltech-101 image classifier mobile app
Summary
Title: Learn to build caltech-101 image classifier mobile app
Price: $19.99
Number of Lectures: 21
Number of Published Lectures: 21
Number of Curriculum Items: 21
Number of Published Curriculum Objects: 21
Original Price: $22.99
Quality Status: approved
Status: Live
What You Will Learn
- Learn to build caltech-101 image classifier mobile app
Who Should Attend
- Beginner iOS developers who would like to build mobile apps using deep learning
Target Audiences
- Beginner iOS developers who would like to build mobile apps using deep learning
Course Description
Learn to build Caltech-101 image classifier iPhone app using Apple’s crate ML and core ML SDK. Deep learning is popular where a machine can be trained to detect objects in images. Once trained, it can be used to detect objects in any image. The app does not require any wifi or cellular connectivity. It uses deep learning to train the model from scratch on your own image dataset. The model can then be used inside an mobile app using Apple’s coreML SDK. We’ll build this app in this course. Since the app does not send your images or vides to remote service, it maintains your privacy and data secured.
Build a strong foundation in pose detection engines with this tutorial for beginners.
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Understanding fundamentals of CreateML and CoreML
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Understanding fundamentals of deep learning and CNN
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Train a model on your own dataset using create ML SDK and XCode
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Build a real life object detection mobile application using coreml and swift
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A Powerful Skill at Your Fingertips Learning the fundamentals of object detection puts a powerful and very useful tool at your fingertips. swift, create ml and coreml are free, easy to learn, has excellent documentation.
No prior knowledge of CNN or deep learning is assumed. I’ll be covering topics like CNN from scratch.
Jobs in computer vision area are plentiful, and being able to learn object detection will give you a strong edge.
Learning object detection will help you become a computer vision developer which is in high demand.
Content and Overview
This course teaches you on how to build object detection engine using open source create ml, coreml and swift . You will work along with me step by step to build following answers
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Train Object Detection model
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Build Mobile object detection app using trained model
What am I going to get from this course?
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Learn object detection from professional trainer from your own desk.
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Over 10 lectures teaching you how to build object detection engine
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Suitable for beginner programmers and ideal for users who learn faster when shown.
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Visual training method, offering users increased retention and accelerated learning.
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Breaks even the most complex applications down into simplistic steps.
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Offers challenges to students to enable reinforcement of concepts. Also solutions are described to validate the challenges.
Course Curriculum
Chapter 1: Introduction
Lecture 1: Course Overview
Lecture 2: Introduction to create ML
Lecture 3: About Author
Chapter 2: Deep learning fundamentals
Lecture 1: What is deep learning?
Lecture 2: What is difference between AI, ML and DL?
Lecture 3: Challenges and Wins
Lecture 4: Cost Function
Lecture 5: Gradient Descent
Chapter 3: Deep Learning networks
Lecture 1: Linear Regression
Lecture 2: Logistic regression
Lecture 3: MLP
Lecture 4: CNN
Chapter 4: Model Training
Lecture 1: Training Model
Lecture 2: Accuracy, recall , precision and F1 score (Optional)
Chapter 5: Model Inference
Lecture 1: Creating XCode Project
Lecture 2: Importing Model
Lecture 3: Enabling Permission
Lecture 4: Capturing Image from Camera or Photo Library
Lecture 5: Using CoreML and Vision API
Lecture 6: Running app
Lecture 7: Next Steps
Instructors
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Evergreen Technologies
Software Mentor
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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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