Udemy - Machine Learning use in React Native, The Practical Guide

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Udemy - Machine Learning use in React Native, The Practical Guide

Torrent Contents Size: 2 GB

Udemy - Machine Learning use in React Native, The Practical Guide
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1. Creating a new React Native Project.mp4
MP4
22.8 MB
1. Fruit Recognition with Traansfer Learning.mp4
MP4
9.6 MB
1. How to find Image classification datasets.mp4
MP4
43.2 MB
1. Image Segmentation Section Introduction.mp4
MP4
28.7 MB
1. Introduction.mp4
MP4
18.9 MB
1. Object Detection Section Introduction.mp4
MP4
11.1 MB
1. Pose Estimation Section Introduction.mp4
MP4
19.2 MB
1. Quantization.mp4
MP4
27.5 MB
1. Section Introduction.mp4
MP4
14.1 MB
1. Setting up the code editor.mp4
MP4
10.6 MB
10. Fruit recognition with Images.mp4
MP4
22.7 MB
11. Fruit Recognition using live camera footage.mp4
MP4
21.7 MB
2. Android studio and emulator.mp4
MP4
24.7 MB
2. Arranging image classification dataset.mp4
MP4
23 MB
2. Creating GUI of the Application.mp4
MP4
39.4 MB
2. Creating and running a new react native project.mp4
MP4
18.3 MB
2. Getting fruits dataset for model training.mp4
MP4
15.7 MB
2. Importing starter application code.mp4
MP4
75.9 MB
2. Machine Leaning Introduction.mp4
MP4
17.5 MB
2. Setting up the project.mp4
MP4
62 MB
2. Setting up the starter application for object detection.mp4
MP4
71.5 MB
2. Setting up the starter project for image segmentation.mp4
MP4
45.2 MB
2. Training Image Classification Model.mp4
MP4
8.6 MB
3. Adding model inside React native project.mp4
MP4
34.9 MB
3. Choosing images from gallery in React Native.mp4
MP4
62.3 MB
3. Creating an Android Emulator.mp4
MP4
9.6 MB
3. Performing Image Segmentation using Deeplab model.mp4
MP4
83.8 MB
3. Performing object detection in React Native.mp4
MP4
75 MB
3. Performing pose estimation in react native using posenet model.mp4
MP4
37.5 MB
3. Perofrming image classification with live camera footage.mp4
MP4
77.1 MB
3. Tensorflow lite Introduction.mp4
MP4
19.6 MB
3. Training an Image classification model.mp4
MP4
41.5 MB
3. Uploading fruits dataset.mp4
MP4
15.4 MB
4. Capturing images using camera in React Native.mp4
MP4
14.4 MB
4. Clarifying some concepts.mp4
MP4
16.4 MB
4. Google colab.mp4
MP4
14.7 MB
4. Performing image classification.mp4
MP4
53.1 MB
4. Showing live camera footage in react native.mp4
MP4
64.7 MB
4. Showing results to the user.mp4
MP4
82.2 MB
4. Testing and downloading the model.mp4
MP4
24.2 MB
4. Understanding output format.mp4
MP4
41.3 MB
5. Drawing rectangles around detected objects.mp4
MP4
81.5 MB
5. Overview.mp4
MP4
15.2 MB
5. Showing predictions of model on screen.mp4
MP4
57.2 MB
5. Showing predictions on screen.mp4
MP4
75.8 MB
5. Training fruit recognition model.mp4
MP4
101.8 MB
5. What we have done so far.mp4
MP4
7.3 MB
6. Dog breed recognition with images.mp4
MP4
25 MB
6. Overview and customisation.mp4
MP4
30.4 MB
6. Saving trained model in drive.mp4
MP4
13.6 MB
6. Showing names of predictions.mp4
MP4
20.6 MB
6. What we have done so far.mp4
MP4
10.3 MB
7. Directly uploading dataset on google colab.mp4
MP4
15.6 MB
7. Object detection using YOLO.mp4
MP4
26.2 MB
8. Exploring notebook further and testing tflite file.mp4
MP4
59.4 MB
9. Retraining other models.mp4
MP4
45.1 MB
Bonus Resources.txt
TXT
307.2 B
Get Bonus Downloads Here.url
URL
204.8 B

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