Download Udemy - Tensorflow lite for Flutter Smart Mobile app development torrent

Udemy - Tensorflow lite for Flutter Smart Mobile app development

Torrent:	Udemy - Tensorflow lite for Flutter Smart Mobile app development
Description:	Description Do you want to build Machine Learning based Android and IOS applications? Then welcome to “Tensorflow lite for Flutter, Smart App Development course“ This course will teach you to build powerful ML-based Flutter applications using Tensorflow lite models. My name is Muhammad Hamza Asif and I am a mobile machine learning instructor and AI entrepreneur. And Over the last three years, I am teaching the use of ML(Machine Learning) and computer vision in mobile devices to over 50,000 students. Starting from learning the basics of Tensorflow lite you will learn the use of popular pre-trained models for Building Image Classification(Using images or live camera footage) for Android and IOS Object Detection(Using images or live camera footage) for Android and IOS Pose Estimation(Using images or live camera footage) for Android and IOS Image Segmentation for Android and IOS Applications. Then we will learn to analyze and use regression models in Flutter(Dart) and build a couple of applications including Basic Example for Android and IOS Fuel Efficiency predictor for vehicles for Android and IOS After that, we will explore some platforms to train image classification models without knowing any background knowledge of Machine learning. So we will learn to get the dataset from Kaggle. After that, we will train the model to recognize different breeds of dogs and build a Flutter (Dart) application for that model. Then using a technique called transfer learning we will retrain the mobile net model on our Fruit dataset and build a Flutter(Dart) application for that model. After taking this course you will be able to use pre-trained ML(Machine Learning) models in Flutter(Dart) train your own Image classification models 10+ powerful ML(Machine Learning)-based Flutter(Dart) Applications to empower your Resume So this course will boost your mobile app development career give your company a huge competitive advantage The underlying motivation for this course is that you can use ML(Machine Learning) models in your own application Impress potential employers with your Flutter(Dart) ML abilities You’ll also have a portfolio of over 10 apps that you can show off to any potential employer. Sign up today, and look forwards to: HD 1080p video content, everything you’ll ever need to succeed as a Flutter(Dart) Machine Learning developer. Building over 10 fully-fledged apps including ones that use Objet detection, Pose estimation models, and much much more. All the knowledge you need to start building Machine Learning-based app you want $2000+ Source codes of 10 Applications. REMEMBER… I’m so confident that you’ll love this course that we’re offering a FULL money-back guarantee for 30 days! So it’s a complete no-brainer, sign up today with ZERO risks and EVERYTHING to gain. So what are you waiting for? Click the buy now button and join the world’s best Flutter Machine Learning course. Who this course is for: Beginner Flutter developer with little knowledge of mobile app development in Flutter Intermediate Flutter developer wanted to build a powerful Machine Learning-based application in Flutter Experienced Flutter developers wanted to use Machine Learning models inside their applications. Anyone who took a basic flutter mobile app development course before (like flutter app development course by angela yu or other such courses). Who this course is for: Beginner Flutter developer want to learn use of Machine learning in Flutter Intermediate Flutter developer looking to enhance their skillset Expert Flutter developer want to build state of the art Applications Flutter Developers want to learn Tensorflow lite models in Flutter Requirements Some basic Knowledge of Flutter Last Updated 1/2021
Downloads:	79
Category:	Other /Tutorials
Size:	2.1 GB
Show Files »	Tensorflow lite for Flutter Smart Mobile app development [TutsNode.com] - Tensorflow lite for Flutter Smart Mobile app development 5. Object Detection in Flutter using Yolo and SSD MobileNet model 3. Flutter Object detection code.mp4 (134.8 MB) 3. Flutter Object detection code.srt (21.8 KB) 7. Flutter Live feed object detection application code.srt (16.4 KB) 2. Importing Application code object detection flutter.srt (8.1 KB) 4. Flutter Drawing Rectangles around detected objects.srt (7.3 KB) 5. Importing the code for live feed object detection flutter application.srt (2.8 KB) 6. Testing object detection live feed flutter application.srt (1.4 KB) 1. Flutter Object detection section introduction.srt (3.6 KB) 7. Flutter Live feed object detection application code.mp4 (84.9 MB) 2. Importing Application code object detection flutter.mp4 (46.1 MB) 4. Flutter Drawing Rectangles around detected objects.mp4 (34.5 MB) 5. Importing the code for live feed object detection flutter application.mp4 (16.5 MB) 6. Testing object detection live feed flutter application.mp4 (14.4 MB) 1. Flutter Object detection section introduction.mp4 (10.6 MB) 9. Fuel Efficiency Predictor Regression Application 1.1 Fuel_efficiency.zip (36.0 KB) 3. Fuel Efficiency Prediction Flutter Application.srt (17.1 KB) 1. Analyzing Fuel Efficiency model.srt (7.6 KB) 2. Code for Fuel Efficiency regression model.srt (4.0 KB) 3. Fuel Efficiency Prediction Flutter Application.mp4 (110.6 MB) 1. Analyzing Fuel Efficiency model.mp4 (33.4 MB) 2. Code for Fuel Efficiency regression model.mp4 (21.9 MB) 2. Camera and Image Picker Package 1. Flutter Image Picker Library.srt (22.1 KB) 2. Flutter Testing Image Picker Application.srt (2.0 KB) 1. Flutter Image Picker Library.mp4 (126.3 MB) 4. Flutter writing camera package code.srt (13.0 KB) 3. Setting up the Camera Package in Flutter.srt (6.1 KB) 4. Flutter writing camera package code.mp4 (74.0 MB) 3. Setting up the Camera Package in Flutter.mp4 (34.0 MB) 2. Flutter Testing Image Picker Application.mp4 (11.8 MB) 4. Image Classification in Flutter using MobileNet Model 4. Writing flutter image classification code.srt (21.8 KB) 8. Writing Flutter Image classification code.srt (17.5 KB) 3. Starter code explanation for Flutter Image classification.srt (9.9 KB) 7. Starter code explanation of Flutter Live feed Image classification application.srt (9.0 KB) 5. Testing flutter image classification application.srt (2.8 KB) 2.1 Flutter Tensorflow lite course codes.docx (7.2 KB) 9. Testing live feed image classification flutter application.srt (1.2 KB) 6. Importing Flutter live feed Image classification application starter code.srt (5.2 KB) 2. Importing Starter code for Flutter Image classification application.srt (4.9 KB) 1. Flutter Image classification Section introduction.srt (3.8 KB) 4. Writing flutter image classification code.mp4 (109.9 MB) 8. Writing Flutter Image classification code.mp4 (98.7 MB) 7. Starter code explanation of Flutter Live feed Image classification application.mp4 (60.5 MB) 3. Starter code explanation for Flutter Image classification.mp4 (50.3 MB) 6. Importing Flutter live feed Image classification application starter code.mp4 (31.2 MB) 2. Importing Starter code for Flutter Image classification application.mp4 (28.4 MB) 5. Testing flutter image classification application.mp4 (17.9 MB) 9. Testing live feed image classification flutter application.mp4 (16.4 MB) 1. Flutter Image classification Section introduction.mp4 (14.3 MB) 6. Pose Estimation in Flutter using PoseNet model 3. Flutter Pose estimation code.srt (17.5 KB) 6. Using PoseNet model for Flutter Live feed pose estimation application.srt (13.0 KB) 2. Importing Flutter Pose estimation Application code.srt (6.3 KB) 1. Flutter Pose estimation section introduction.srt (3.7 KB) 4. Importing pose estimation live feed flutter application code.srt (3.7 KB) 3. Flutter Pose estimation code.mp4 (95.7 MB) 6. Using PoseNet model for Flutter Live feed pose estimation application.mp4 (64.2 MB) 2. Importing Flutter Pose estimation Application code.mp4 (37.3 MB) 4. Importing pose estimation live feed flutter application code.mp4 (17.6 MB) 1. Flutter Pose estimation section introduction.mp4 (17.3 MB) 5. Flutter Live feed pose estimation application demo.mp4 (6.2 MB) 8. Regression in Flutter 5. Adding the model in Flutter Application and testing.srt (14.8 KB) 4. Analyzing a regression model.srt (6.4 KB) 4.1 Basic_Example_Regression.zip (6.4 KB) 6. Basic Example regression model code.srt (5.9 KB) 1. Regression in Flutter Section Introduction.srt (5.5 KB) 2. Importing the starter code for Basic Regression Application.srt (3.6 KB) 3. Flutter Basic Example starter code explaination.srt (2.9 KB) 5. Adding the model in Flutter Application and testing.mp4 (85.1 MB) 2. Importing the starter code for Basic Regression Application.mp4 (24.1 MB) 6. Basic Example regression model code.mp4 (22.1 MB) 4. Analyzing a regression model.mp4 (22.0 MB) 3. Flutter Basic Example starter code explaination.mp4 (21.3 MB) 1. Regression in Flutter Section Introduction.mp4 (13.0 MB) 7. Image Segmentation in Flutter using Deeplab model 3. Flutter using DeepLab model for image segmentation.srt (14.4 KB) 2. Importing Flutter Image Segmentation Application code.srt (4.6 KB) 1. Flutter Image Segmentation Section Introduction.srt (2.9 KB) 3. Flutter using DeepLab model for image segmentation.mp4 (86.6 MB) 2. Importing Flutter Image Segmentation Application code.mp4 (25.6 MB) 1. Flutter Image Segmentation Section Introduction.mp4 (11.3 MB) 3. Pretrained Model Section 1. Section Introduction.srt (2.9 KB) 1. Section Introduction.mp4 (16.5 MB) 12. Fruit Recognition in Flutter using Transfer Learning 3. Flutter Training fruit recognition model.srt (13.5 KB) 2. Flutter Getting the dataset for model training.srt (5.0 KB) 1. Transfer Learning introduction.srt (4.0 KB) < files
Added:	2021-01-16 11:02:21
Language:	English
Peers:	Seeders : 7 , Leechers : 13
Release name:	Udemy - Tensorflow lite for Flutter Smart Mobile app development
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