| 1. Creating a new React Native Project.mp4 | 22.8 MB | ||
| 1. Fruit Recognition with Traansfer Learning.mp4 | 9.6 MB | ||
| 1. How to find Image classification datasets.mp4 | 43.2 MB | ||
| 1. Image Segmentation Section Introduction.mp4 | 28.7 MB | ||
| 1. Introduction.mp4 | 18.9 MB | ||
| 1. Object Detection Section Introduction.mp4 | 11.1 MB | ||
| 1. Pose Estimation Section Introduction.mp4 | 19.2 MB | ||
| 1. Quantization.mp4 | 27.5 MB | ||
| 1. Section Introduction.mp4 | 14.1 MB | ||
| 1. Setting up the code editor.mp4 | 10.6 MB | ||
| 10. Fruit recognition with Images.mp4 | 22.7 MB | ||
| 11. Fruit Recognition using live camera footage.mp4 | 21.7 MB | ||
| 2. Android studio and emulator.mp4 | 24.7 MB | ||
| 2. Arranging image classification dataset.mp4 | 23 MB | ||
| 2. Creating GUI of the Application.mp4 | 39.4 MB | ||
| 2. Creating and running a new react native project.mp4 | 18.3 MB | ||
| 2. Getting fruits dataset for model training.mp4 | 15.7 MB | ||
| 2. Importing starter application code.mp4 | 75.9 MB | ||
| 2. Machine Leaning Introduction.mp4 | 17.5 MB | ||
| 2. Setting up the project.mp4 | 62 MB | ||
| 2. Setting up the starter application for object detection.mp4 | 71.5 MB | ||
| 2. Setting up the starter project for image segmentation.mp4 | 45.2 MB | ||
| 2. Training Image Classification Model.mp4 | 8.6 MB | ||
| 3. Adding model inside React native project.mp4 | 34.9 MB | ||
| 3. Choosing images from gallery in React Native.mp4 | 62.3 MB | ||
| 3. Creating an Android Emulator.mp4 | 9.6 MB | ||
| 3. Performing Image Segmentation using Deeplab model.mp4 | 83.8 MB | ||
| 3. Performing object detection in React Native.mp4 | 75 MB | ||
| 3. Performing pose estimation in react native using posenet model.mp4 | 37.5 MB | ||
| 3. Perofrming image classification with live camera footage.mp4 | 77.1 MB | ||
| 3. Tensorflow lite Introduction.mp4 | 19.6 MB | ||
| 3. Training an Image classification model.mp4 | 41.5 MB | ||
| 3. Uploading fruits dataset.mp4 | 15.4 MB | ||
| 4. Capturing images using camera in React Native.mp4 | 14.4 MB | ||
| 4. Clarifying some concepts.mp4 | 16.4 MB | ||
| 4. Google colab.mp4 | 14.7 MB | ||
| 4. Performing image classification.mp4 | 53.1 MB | ||
| 4. Showing live camera footage in react native.mp4 | 64.7 MB | ||
| 4. Showing results to the user.mp4 | 82.2 MB | ||
| 4. Testing and downloading the model.mp4 | 24.2 MB | ||
| 4. Understanding output format.mp4 | 41.3 MB | ||
| 5. Drawing rectangles around detected objects.mp4 | 81.5 MB | ||
| 5. Overview.mp4 | 15.2 MB | ||
| 5. Showing predictions of model on screen.mp4 | 57.2 MB | ||
| 5. Showing predictions on screen.mp4 | 75.8 MB | ||
| 5. Training fruit recognition model.mp4 | 101.8 MB | ||
| 5. What we have done so far.mp4 | 7.3 MB | ||
| 6. Dog breed recognition with images.mp4 | 25 MB | ||
| 6. Overview and customisation.mp4 | 30.4 MB | ||
| 6. Saving trained model in drive.mp4 | 13.6 MB | ||
| 6. Showing names of predictions.mp4 | 20.6 MB | ||
| 6. What we have done so far.mp4 | 10.3 MB | ||
| 7. Directly uploading dataset on google colab.mp4 | 15.6 MB | ||
| 7. Object detection using YOLO.mp4 | 26.2 MB | ||
| 8. Exploring notebook further and testing tflite file.mp4 | 59.4 MB | ||
| 9. Retraining other models.mp4 | 45.1 MB | ||
| Bonus Resources.txt | 307.2 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| ▲ 60 total files | |||
Machine Learning use in React Native, The Practical Guide
https://CourseHulu.com
Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.98 GB | Duration: 4h 28m
Build smart Android & IOS application in React Native, Train Machine Learning Models build 10+ React Native Apps
What you'll learn
Use of Machine learning models with images from gallery and camera in React Native
Use of Tensorflow lite models in React Native
Training Machine Learning models for React Native Applications
Live Feed Image classification and Object Detection in React Native
Image Segmentation and Pose Estimation in React Native
Building Machine learning based Realtime React Native Applications
Machine Learning models use in React Native to build Smart Android and IOS Applications
Description
Welcome to the Machine Learning use in React Native, The Practical Guide
Covering all the fundamental concepts of using ML models inside React Native applications, this is the most comprehensive React Native ML course available online.
The important thing is you don't need to know background working knowledge of Machine learning and computer vision to use ML models inside React Native and train them.
| torrent name | size | uploader | age | seed | leech |
|---|---|---|---|---|---|
| 1.2 GB | freecoursewb | 5 days | 10 | 10 | |
| 1.9 GB | freecoursewb | 3 weeks | 5 | 0 | |
| 2.6 GB | freecoursewb | 3 weeks | 6 | 3 | |
| 2.5 GB | freecoursewb | 1 month | 1 | 9 | |
| 1.5 GB | freecoursewb | 2 months | 6 | 7 |
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