Train Tensorflow Lite Models for IOS - IOS Machine Learning
Train Machine Learning Models for IOS Swift Applications | Use Tensorflow Lite models in IOS Apps with Swift and SwiftUI
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What You Will Learn!
- Train Machine Learning Models & deploy them in IOS Swift Applications
- Use of Tensorflow Lite models in IOS Swift Applications
- Train a machine learning model and build a House Price Prediction IOS Swift Application
- Train a machine learning model and build a Fuel Efficiency Prediction IOS Swift Application
- Lean basic syntax of python programming language to train ML models for IOS Swift Applications
- Learn basics of Machine Learning & Deep Learning for training Machine learning Models for smart IOS Development
- Understand the working of artificial neural networks for training machine learning for IOS Swift Apps
- Learn use of data science libraries like numpy, pandas and matplotlib for training Machine learning models for IOS Swift Apps
- Learn to analyse & use advance linear regression models for use in IOS Swift Applications
- Learn Data Collection & Preprocessing for Machine Learning model training for IOS Swift Applications
- Learn to train Countless Prediction models for IOS Swift Applications
Description
Do you want to train different Machine Learning models and build smart IOS Swift applications then Welcome to this course.
My name is Muhammad Hamza Asif, and I am the leading Mobile Machine Learning instructor at Udemy. In this course, we'll embark on a journey to combine the power of predictive modeling with the flexibility of IOS app development. Whether you're a seasoned IOS developer or new to the scene, this course has something valuable to offer you.
Course Highlights:
Training Your First Machine Learning Model:
Use TensorFlow and Python to create a simple Machine Learning(regression) model
Convert the model into TFLite format, making it compatible with IOS Swift
Learn to integrate the TFLite model into IOS Swift apps
Fuel Efficiency Prediction in IOS Swift:
Apply your knowledge to a real-world problem by predicting automobile fuel efficiency
Seamlessly integrate the model into an IOS Swift app for an intuitive fuel efficiency prediction experience
House Price Prediction in IOS Swift:
Master the art of training regression models on substantial datasets
Utilize the trained model within your IOS Swift app to predict house prices confidently
Regression is one of the fundamental techniques in Machine Learning which can be used for countless applications. Like you can train Machine Learning models using regression
to predict the price of the house
to predict the Fuel Efficiency of vehicles
to recommend drug doses for medical conditions
to recommend fertilizer in agriculture
to suggest exercises for improvement in player performance
and so on. So Inside this course, you will learn to train your custom machine learning models in Tensorflow lite and build smart IOS Swift applications.
Course Overview: We'll begin by exploring the basics of Machine Learning and its various types, and then dive into the world of deep learning and artificial neural networks, which will serve as the foundation for training our Tensorflow Lite models for IOS Swift Applications.
The IOS-ML Fusion: After grasping the core concepts, we'll bridge the gap between IOS Swift and Machine Learning. To do this, we'll kickstart our journey with Python programming, a versatile language that will pave the way for our Machine Learning model training
Unlocking Data's Power: To prepare and analyze our datasets effectively, we'll dive into essential data science libraries like NumPy, Pandas, and Matplotlib. These powerful tools will equip you to harness data's potential for accurate predictions.
Tensorflow for Mobile: Next, we'll immerse ourselves in the world of TensorFlow, a library that not only supports model training using neural networks but also caters to mobile devices.
The IOS Development Advantage: By the end of this course, you'll be equipped to:
Train advanced regression models for accurate predictions
Seamlessly integrate ML models into your IOS Swift applications
Analyze and use existing tflite models effectively within the IOS Swift ecosystem
Who Should Enroll:
Aspiring IOS Swift developers eager to add predictive modeling to their skillset
Beginner IOS Swift developer with very little knowledge of mobile app development
Intermediate IOS Swift developer wanted to build a powerful Machine Learning-based application in IOS Swift
Experienced IOS Swift developers wanted to use Machine Learning models inside their IOS applications.
Enthusiasts seeking to bridge the gap between Machine Learning and IOS development
Step into the World of IOS Development and Predictive Modeling: Join us on this exciting journey and unlock the potential of IOS Swift and Machine Learning. By the end of the course, you'll be ready to develop IOS Swift applications that not only look great but also make informed, data-driven decisions.
Enroll now and embrace the fusion of IOS Swift and Machine Learning
Who Should Attend!
- Beginner IOS Developer who want to build Machine Learning based IOS Applications
- Intermediate IOS developers eager to add Machine Learning to their skillset
- IOS experts seeking to bridge the gap between Machine Learning and Mobile App Development
- Anyone who want to train custom machine learning models and build IOS Swift Applications