Published 1/2024
Created by Hamza Asif
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 47 Lectures ( 3h 38m ) | Size: 1.82 GB
Learn to train Linear Regression Models for Mobile Apps using Tensorflow and Tensorflow Lite With Practical Projects
What you’ll learn:
Train your own linear regression models in Python for Mobile Applications
Export Linear Regression Models into Tensorflow Lite for use in Mobile Applications
Train a fuel price prediction model and convert it into tensorflow lite format to use it in mobile applications
Train a house price prediction model and convert it into tensorflow lite format to use it in mobile applications
Learn Basics of Machine Learning and Deep learning
Learn Basic Syntax of Python Programming Language
Learn about different data science libraries like Numpy, Pandas and Matplotlib
Learn use of Tensorflow & Tensorflow Lite for training linear regression models in Python
Requirements:
Basic understanding of Python or any programming language will be a plus
Description:
Do you want to train Machine Learning Models and use them in Mobile, Web and Desktop applications then welcome to this course. In this course, you will learn to train linear regression models and convert them into tensorflow lite format so that you can use them in mobile, desktop, and edge devices.Regression is one of the fundamental techniques in Machine Learning which can be used for countless applications. You can train Machine Learning models using regression to predict the price of the houseto predict the Fuel Efficiency of vehiclesto recommend drug doses for medical conditionsto recommend fertilizer in agriculture to suggest exercises for improvement in player performanceand so on. The course will is divided into several sectionsIntroduction of Machine Learning and its TypesBasics of Deep Learning & Artificial Neural NetworksBasic Syntax of Python Programming LanguageData Science Libraries (Numpy, Pandas, Matplotlib)Tensorflow & Tensorflow LiteTraining a simple linear regression modelTraining an advanced fuel efficiency prediction modelBuilding a House Price Prediction ModelInstructor Intro:My name is Muhammad Hamza Asif and I am the leading Mobile Machine Learning Instructor at Udemy. For the last five years, I am teaching the use of Machine Learning and AI in mobile applications to over 55,000 thousand students worldwide. 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 mobile Applications.Python Programming: After grasping the core concepts, we’ll learn the basic syntax of Python programming, a versatile language that will pave the way for our Machine Learning model trainingUnlocking 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.Course Highlights:Training Your First Regression Model:Use TensorFlow and Python to create a simple regression modelConvert the model into TFLite format, making it compatible with mobile applicationsFuel Efficiency Prediction:Apply your knowledge to a real-world problem by predicting automobile fuel efficiencyConvert advanced linear regression models in mobile-compatible formatHouse Price Prediction:Master the art of training linear regression models on substantial datasetsEvaluate the model and convert it into tensorflow lite formatBy the end of this course, you’ll be equipped to:Train advanced linear regression models for accurate predictionsConvert machine learning models into tensorflow lite format for use in mobile & edge devicesUnderstand the basics of Machine Learning, Deep Learning, Python, Numpy, Pandas, Matplotlib, Tensorflow and Tensorflow LiteWho Should Enroll:People who are interested in data science & machine learningEnthusiasts seeking to bridge the gap between Machine Learning and Mobile app developmentAspiring developers eager to add predictive modeling to their skillsetPeople new to machine learning who would like an easy introduction to the topicPeople who wish to advance their careers by learning machine learning for mobile devicesJoin us on this exciting journey and unlock the potential of Machine Learning for mobile and edge devices.
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