Flutter & ML 2025: Train Tensorflow Lite models for Flutter

所在平台: Udemy

课程主页: https://www.udemy.com/course/flutter-and-linear-regression-build-prediction-apps-flutter/

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课程简介

Flutter & ML 2025:为 Flutter 训练 TensorFlow Lite 模型 本课程旨在教授学员如何使用 Python 从头开始训练强大的图像分类、对象检测和线性回归机器学习模型,并将这些模型集成到 Flutter 应用中,以构建智能的 Android 和 iOS 应用。 **课程亮点:** * **机器学习基础:** 介绍机器学习基础概念、不同类型及其在现实世界中的应用(如房价预测、燃油效率预测、药物剂量建议等)。 * **深度学习入门:** 探讨深度学习和人工神经网络,为后续模型训练奠定基础。 * **Python 与数据科学:** 学习使用 NumPy、Pandas 和 Matplotlib 等 Python 库进行数据准备和分析。 * **TensorFlow 与 TFLite:** 掌握 TensorFlow 的使用,并学习如何将模型转换为 TFLite 格式,使其兼容 Flutter。 * **模型训练与集成:** * **回归模型:** 训练线性回归模型,并将其集成到 Flutter 应用中,用于预测燃油效率和房屋价格。 * **计算机视觉模型:** 训练图像分类模型,并将其集成到 Flutter 应用中,支持图片和实时摄像头。 * **对象检测:** 使用 ML Kit 的对象检测模型,并学习自定义图像分类模型用于对象识别。 * **Flutter 应用开发:** 将训练好的 TFLite 模型无缝集成到 Flutter 应用,打造智能的用户体验。 **目标学员:** * 渴望将预测建模纳入技能集的 Flutter 开发者。 * 对移动应用开发有基本了解的 Flutter 初学者。 * 希望构建强大机器学习应用的 Flutter 中级开发者。 * 寻求将机器学习模型集成到现有应用中的经验丰富的 Flutter 开发者。 **学完您将能够:** * 训练各种预测性机器学习模型。 * 将 TFLite 模型高效地集成到 Flutter 应用中。 * 在 Flutter 中分析和使用现有的回归和计算机视觉(ML)模型。 加入本课程,解锁 Flutter 与预测建模的强大潜力,创建更智能、更具数据驱动力的 Android 和 iOS 应用。

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课程详情

Do you want to train different Machine Learning models and build smart Android & IOS applications in Flutter then Welcome to this course.In this course, you will learn totrain powerful image classification, object detection, and linear regression models in Python from scratchThen we will use these models in Flutter to build smart Flutter AppsRegression 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 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. So Inside this course, you will learn to train your custom machine learning models for Flutter and build smart Android & IOS applications in Flutter.I'm Muhammad Hamza Asif, and in this course, we'll embark on a journey to combine the power of predictive modeling with the flexibility of Flutter app development. Whether you're a seasoned Flutter developer or new to the scene, this course has something valuable to offer youCourse 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 machine learning models for Flutter.The Flutter-ML Fusion: After grasping the core concepts, we'll bridge the gap between Flutter 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 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, including FlutterRegression Models TrainingTraining Your First Machine Learning Model:Harness TensorFlow and Python to create a simple linear regression modelConvert the model into TFLite format, making it compatible with FlutterLearn to integrate the tflite model into Flutter apps for Android and iOSFuel Efficiency Prediction:Apply your knowledge to a real-world problem by predicting automobile fuel efficiencySeamlessly integrate the model into a Flutter app for an intuitive fuel efficiency prediction experienceHouse Price Prediction in Flutter:Master the art of training machine learning models on substantial datasetsUtilize the trained model within your Flutter app to predict house prices confidentlyComputer Vision Model TrainingImage Classification in Flutter:Collect and process dataset for model trainingTrain image classification models on custom datasetsUse image classification models in Flutter with both images and live camera footageObject Detection in FlutterUse object detection models of ML Kit in FlutterTrain Custom Image Classification models and use them to classify detected objectsPerform Object Detection with both Images and Live Camera FootageThe Flutter Advantage: By the end of this course, you'll be equipped to:Train advanced machine learning models for accurate predictionsSeamlessly integrate tflite models into your Flutter applicationsAnalyze and use existing regression & vision (ML) models effectively within the Flutter ecosystemWho Should Enroll:Aspiring Flutter developers eager to add predictive modeling to their skillsetBeginner Flutter ( Dart ) developer with very little knowledge of mobile app development in Google FlutterIntermediate Flutter ( Dart ) developer wanted to build a powerful Machine Learning-based application in Google FlutterExperienced Flutter ( Dart ) developers wanted to use Machine Learning models inside their applications.Step into the World of Flutter and Predictive Modeling: Join us on this exciting journey and unlock the potential of Flutter and Machine Learning for Android & IOS. By the end of the course, you'll be ready to develop Flutter applications that not only look great but also make informed, data-driven decisions.Enroll now and embrace the fusion of Flutter and predictive modeling!

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