please contact sales@tanchin.hk for any inquiry
you wish to change careers or create a second stream of income, Machine Learning is a highly lucrative skill that can give you an amazing sense of gratification when you can apply it to your mobile apps and games.
Why This Course Is Different
Machine Learning is very broad and complex; to navigate this maze, you need a clear and global vision of the field. Too many tutorials just bombard you with the theory, math, and coding. In this course, each section focuses on distinct use cases and real projects so that your learning experience is best structured for mastery.
This course brings my teaching experience and technical know-how to you. I’ve taught programming for over 10 years, and I’m also a veteran iOS developer with hands-on experience making top-ranked apps. For each project, we will write up the code line by line to create it from scratch. This way you can follow along and understand exactly what each line means and how to code comes together. Once you go through the hands-on coding exercises, you will see for yourself how much of a game-changing experience this course is.
As an educator, I also want you to succeed. I’ve put together a team of professionals to help you master the material. Whenever you ask a question, you will get a response from my team within 48 hours. No matter how complex your question, we will be there–because we feel a personal responsibility in being fully committed to our students.
By the end of the course, you will confidently understand the tools and techniques of Machine Learning for iOS on an instinctive level.
Don’t be the one to get left behind. Get started today and join millions of people taking part in the Machine Learning revolution.
topics: ios 11 swift 4 coreml vision deep learning machine learning neural networks python anaconda trained models keras tensorflow scikit learn core ml ios11 Swift4 scikitlearn artificial neural network ANN recurrent neural network RNN convolutional neural network CNN ocr character recognition face detection ios 11 swift 4 coreml vision deep learning machine learning neural networks python anaconda trained models keras tensorflow scikit learn core ml ios11 Swift4 scikitlearn artificial neural network ANN recurrent neural network RNN convolutional neural network CNN ocr character recognition face detection ios 11 swift 4 coreml vision deep learning machine learning neural networks python anaconda trained models keras tensorflow scikit learn core ml ios11 Swift4 scikitlearn artificial neural network ANN recurrent neural network RNN convolutional neural network CNN ocr character recognition face detection ios 11 swift 4 coreml vision deep learning machine learning neural networks python anaconda trained models keras tensorflow scikit learn core ml ios11 Swift4 scikitlearn artificial neural network ANN recurrent neural network RNN convolutional neural network CNN ocr character recognition face detection ios 11 swift 4 coreml vision deep learning machine learning neural networks python anaconda trained models keras tensorflow scikit learn core ml ios11 Swift4 scikitlearn artificial neural network ANN recurrent neural network RNN convolutional neural network CNN ocr character recognition face detection
Learning Masterclass? will introduce Machine Learning in a way that’s both fun and engaging.
In this course, you will:
Master the 3 fundamental branches of applied Machine Learning: Image & Video Processing, Text Analysis, and Speech & Language Recognition
Develop an intuitive sense for using Machine Learning in your iOS apps
Create 7 projects from scratch in practical code-along tutorials
Find pre-trained ML models and make them ready to use in your iOS apps
Create your own custom models
Add Image Recognition capability to your apps
Integrate Live Video Camera Stream Object Recognition to your apps
Add Siri Voice speaking feature to your apps
Dive deep into key frameworks such as coreML, Vision, CoreGraphics, and GamePlayKit.
Use Python, Keras, Caffee, Tensorflow, sci-kit learn, libsvm, Anaconda, and Spyder–even if you have zero experience
Get FREE unlimited hosting for one year
And more!
This course is also full of practical use cases and real-world challenges that allow you to practice what you’re learning. Are you tired of courses based on boring, over-used examples? Yes? Well then, you’re in a treat. We’ll tackle 5 real-world projects in this course so you can master topics such as image recognition, object recognition, and modifying existing trained ML models. You’ll also create an app that classifies flowers and another fun project inspired by Silicon Valley? Jian Yang’s masterpiece: a Not-Hot Dog classifier app!
Why Machine Learning on iOS
please contact sales@tanchin.hk for any inquiry
PREVIOUS:Bearing side cover packing Improvement
- Bearing side cover packing Improvement
- Bearing anchor design on the inside of the outer edge of the bearing housing fou
- Single row cylindrical roller bearing structure with ordinary single row cylindr
- Stiffness of the support shaft supported by rolling stiffness depends on the sti
- TANCBEARING NSK Bearings 3210A size parameters
