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Udemy - Tensorflow lite for Flutter Smart Mobile app development

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Added 5 years ago by tutsnode in Other
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Udemy - Tensorflow lite for Flutter Smart Mobile app development (Size: 2.1 GB)
  0 512 B
  1. Analyzing Fuel Efficiency model.mp4 33.4 MB
  1. Analyzing Fuel Efficiency model.srt 7.6 KB
  1. Flutter Getting the dataset for model training.mp4 35.7 MB
  1. Flutter Getting the dataset for model training.srt 7.5 KB
  1. Flutter Image Picker Library.mp4 126.3 MB
  1. Flutter Image Picker Library.srt 22.1 KB
  1. Flutter Image Segmentation Section Introduction.mp4 11.3 MB
  1. Flutter Image Segmentation Section Introduction.srt 2.9 KB
  1. Flutter Image classification Section introduction.mp4 14.3 MB
  1. Flutter Image classification Section introduction.srt 3.8 KB
  1. Flutter Object detection section introduction.mp4 10.6 MB
  1. Flutter Object detection section introduction.srt 3.6 KB
  1. Flutter Pose estimation section introduction.mp4 17.3 MB
  1. Flutter Pose estimation section introduction.srt 3.7 KB
  1. Introduction.mp4 21.8 MB
  1. Introduction.srt 3.2 KB
  1. Regression in Flutter Section Introduction.mp4 13 MB
  1. Regression in Flutter Section Introduction.srt 5.5 KB
  1. Section Introduction.mp4 14.5 MB
  1. Section Introduction.srt 3.2 KB
  1. Transfer Learning introduction.mp4 11.4 MB
  1 3.2 KB
  1. Transfer Learning introduction.srt 4 KB
  1.1 Fuel_efficiency.zip 36 KB
  2 422.6 KB
  2. Code for Fuel Efficiency regression model.mp4 21.9 MB
  2. Code for Fuel Efficiency regression model.srt 4 KB
  2. Flutter Getting the dataset for model training.mp4 20.6 MB
  2. Flutter Getting the dataset for model training.srt 5 KB
  2. Flutter Testing Image Picker Application.mp4 11.8 MB
  2. Flutter Testing Image Picker Application.srt 2 KB
  2. Flutter Training the model.mp4 50.2 MB
  2. Flutter Training the model.srt 10.2 KB
  2. Importing Application code object detection flutter.mp4 46.1 MB
  2. Importing Application code object detection flutter.srt 8.1 KB
  2. Importing Flutter Image Segmentation Application code.mp4 25.6 MB
  2. Importing Flutter Image Segmentation Application code.srt 4.6 KB
  2. Importing Flutter Pose estimation Application code.mp4 37.3 MB
  2. Importing Flutter Pose estimation Application code.srt 6.3 KB
  2. Importing Starter code for Flutter Image classification application.mp4 28.4 MB
  2. Importing Starter code for Flutter Image classification application.srt 4.9 KB
  2. Importing the starter code for Basic Regression Application.mp4 24.1 MB
  2. Importing the starter code for Basic Regression Application.srt 3.6 KB
  2. Machine Learning and Image classification.mp4 10 MB
  2. Machine Learning and Image classification.srt 4.1 KB
  2. Tensorflow lite Introduction.mp4 12.1 MB
  2. Tensorflow lite Introduction.srt 4.4 KB
  2.1 Flutter Tensorflow lite course codes.docx 7.2 KB
  3. Flutter Basic Example starter code explaination.mp4 21.3 MB
  3. Flutter Basic Example starter code explaination.srt 2.9 KB
  3. Flutter Dog Breed Classification Application.mp4 51 MB
  3 108.2 KB
  3. Flutter Dog Breed Classification Application.srt 6.4 KB
  3. Flutter Object detection code.mp4 134.8 MB
  3. Flutter Object detection code.srt 21.8 KB
  3. Flutter Pose estimation code.mp4 95.7 MB
  3. Flutter Pose estimation code.srt 17.5 KB
  3. Flutter Training fruit recognition model.mp4 68.7 MB
  3. Flutter Training fruit recognition model.srt 13.5 KB
  3. Flutter using DeepLab model for image segmentation.mp4 86.6 MB
  3. Flutter using DeepLab model for image segmentation.srt 14.4 KB
  3. Fuel Efficiency Prediction Flutter Application.mp4 110.6 MB
  3. Fuel Efficiency Prediction Flutter Application.srt 17.1 KB
  3. Setting up the Camera Package in Flutter.mp4 34 MB
  3. Setting up the Camera Package in Flutter.srt 6.1 KB
  3. Starter code explanation for Flutter Image classification.mp4 50.3 MB
  3. Starter code explanation for Flutter Image classification.srt 9.9 KB
  4. Analyzing a regression model.mp4 22 MB
  4. Analyzing a regression model.srt 6.4 KB
  4. Flutter Drawing Rectangles around detected objects.mp4 34.5 MB
  4. Flutter Drawing Rectangles around detected objects.srt 7.3 KB
  4. Flutter Live feed dog breed classification application.mp4 22.5 MB
  4. Flutter Live feed dog breed classification application.srt 4.1 KB
  4. Flutter Testing Live feed fruits recognition application.mp4 12 MB
  4. Flutter Testing Live feed fruits recognition application.srt 921 B
  4. Flutter writing camera package code.mp4 74 MB
  4. Flutter writing camera package code.srt 13 KB
  4. Writing flutter image classification code.mp4 109.9 MB
  4 301.5 KB
  4. Importing pose estimation live feed flutter application code.mp4 17.6 MB
  4. Importing pose estimation live feed flutter application code.srt 3.7 KB
  4. Writing flutter image classification code.srt 21.8 KB
  4.1 Basic_Example_Regression.zip 6.4 KB
  5. Adding the model in Flutter Application and testing.mp4 85.1 MB
  5. Adding the model in Flutter Application and testing.srt 14.8 KB
  5. Flutter Live feed pose estimation application demo.mp4 6.2 MB
  5. Importing the code for live feed object detection flutter application.mp4 16.5 MB
  5. Importing the code for live feed object detection flutter application.srt 2.8 KB
  5. Testing flutter image classification application.mp4 17.9 MB
  5. Testing flutter image classification application.srt 2.8 KB
  5. Testing live feed dog breed classification application.srt 1.2 KB
  5 313.5 KB
  5. Testing live feed dog breed classification application.mp4 14.7 MB
  6. Basic Example regression model code.mp4 22.1 MB
  6. Importing Flutter live feed Image classification application starter code.mp4 31.2 MB
  6. Importing Flutter live feed Image classification application starter code.srt 5.2 KB
  6. Testing object detection live feed flutter application.srt 1.4 KB
  6 400.5 KB
  6. Basic Example regression model code.srt 5.9 KB
  6. Testing object detection live feed flutter application.mp4 14.4 MB
  6. Using PoseNet model for Flutter Live feed pose estimation application.mp4 64.2 MB
  6. Using PoseNet model for Flutter Live feed pose estimation application.srt 13 KB
  7. Flutter Live feed object detection application code.mp4 84.9 MB
  7. Flutter Live feed object detection application code.srt 16.4 KB
  7. Starter code explanation of Flutter Live feed Image classification application.mp4 60.5 MB
  7. Starter code explanation of Flutter Live feed Image classification application.srt 9 KB
  8. Writing Flutter Image classification code.mp4 98.7 MB
  8. Writing Flutter Image classification code.srt 17.5 KB
  9. Testing live feed image classification flutter application.mp4 16.4 MB
  9. Testing live feed image classification flutter application.srt 1.2 KB
  TutsNode.com.txt 102 B
  [TGx]Downloaded from torrentgalaxy.to .txt 614 B
  7 370 KB
  8 61 KB
  9 500.7 KB
  10 292.8 KB
  11 342.8 KB
  12 498.9 KB
  13 464.6 KB
  14 186.4 KB
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  21 144.3 KB
  22 274.6 KB
  23 116.1 KB
  24 372.3 KB
  25 406.6 KB
  26 307 B
  27 439.3 KB
  28 491.2 KB
  29 103.4 KB
  30 246.9 KB
  31 191.9 KB
  32 433.3 KB
  33 102 KB
  34 451.5 KB
  35 191.8 KB
  36 467.6 KB
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  38 83.5 KB
  39 342.1 KB
  40 494.4 KB
  41 131 KB
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  43 102 B
  44 377.9 KB
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  50 503 KB
  ▲ 159 total files

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

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