| 0 | 127.4 KB | ||
| 1. Collecting and arranging the dataset.mp4 | 24.1 MB | ||
| 1. Collecting and arranging the dataset.srt | 5.6 KB | ||
| 1. Importing starter Android Application code.srt | 4.1 KB | ||
| 1. Importing starter android application code.srt | 1.9 KB | ||
| 1. Introduction.srt | 3.4 KB | ||
| 1 | 248.1 KB | ||
| 1. Importing starter Android Application code.mp4 | 19.2 MB | ||
| 1. Importing starter android application code.mp4 | 9 MB | ||
| 1. Introduction.mp4 | 18.9 MB | ||
| 1. Training Dog Breed Recognition model.html | 204.8 B | ||
| 2. Android choose Images from gallery or capture them using camera.mp4 | 56.1 MB | ||
| 2. Android choose Images from gallery or capture them using camera.srt | 6.8 KB | ||
| 2. Building Dog Breed Recognition Application.html | 204.8 B | ||
| 2. Starter android application demo.srt | 1.3 KB | ||
| 2 | 141.3 KB | ||
| 2. Starter android application demo.mp4 | 17.8 MB | ||
| 2. Training Image Recognition model.mp4 | 74.9 MB | ||
| 2. Training Image Recognition model.srt | 7.6 KB | ||
| 3 | 144.4 KB | ||
| 3. Adding fruit recognition model in Android Application.mp4 | 101.5 MB | ||
| 3. Adding fruit recognition model in Android Application.srt | 12.4 KB | ||
| 3. Recognizing Fruits using live camera footage of Android.mp4 | 10.1 MB | ||
| 3. Recognizing Fruits using live camera footage of Android.srt | 2.1 KB | ||
| 4. Testing Fruit Recognition Android Application.mp4 | 31.6 MB | ||
| 4. Testing live feed Fruit Recognition Android application.mp4 | 15.5 MB | ||
| 4 | 183.6 KB | ||
| 4. Testing Fruit Recognition Android Application.srt | 3.2 KB | ||
| 4. Testing live feed Fruit Recognition Android application.srt | 1.2 KB | ||
| 5 | 120.8 KB | ||
| 5. Classifier code explanation (Tensorflow lite).mp4 | 71.9 MB | ||
| 5. Classifier code explanation (Tensorflow lite).srt | 8 KB | ||
| 5. Displaying live footage from camera in your Android applications camera2 API.mp4 | 51.6 MB | ||
| 5. Displaying live footage from camera in your Android applications camera2 API.srt | 7.9 KB | ||
| 6. Performing recognition on frames of live camera footage in Android.mp4 | 77.8 MB | ||
| 6. Performing recognition on frames of live camera footage in Android.srt | 10.8 KB | ||
| TutsNode.com.txt | 102.4 B | ||
| [TGx]Downloaded from torrentgalaxy.to .txt | 614.4 B | ||
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| ▲ 45 total files | |||
Description
Welcome to “Image Recognition in Android One hour Bootcamp Java”
This course is designed to teach you to train your own image recognition models and build Android applications in just one hour of your life.
The course will teach you to
Gather and arrange the dataset for model training
Training Image recognition model on that dataset with just a few clicks
Using the trained model inside Android Applications using both Java
Course Content:
The case study we are going to take in this course is a Fruit recognition Application. So firstly
We will get the Fruits dataset from Kaggle
Then we will train the Fruit recognition model
Then we will use that model inside Android applications to build two Android applications to recognize fruits
Fruit Recognition using images from device gallery or camera
Fruit recognition using live footage from the camera
Practice Activity:
After that, there will be a practice exercise for you to train a dog breed recognition model and build Android Applications
Advantage:
So by the end of this hour, you will be able to train any type of Image recognition model and use it inside your Android application. And by building such applications for clients you can earn big.
You can impress your potential employer with your Android Machine Learning skills.
You will have 5 fully functional Android recognition applications to empower your resume
So let’s start.
Who this course is for:
Anyone who want to build real world recognition applications for Android
Requirements
Basic knowledge of Android app development using Java
Last Updated 2/2021
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| 1.6 GB | freecoursewb | 1 month | 11 | 3 | |
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2.5 GB | freecoursewb | 4 months | 13 | 2 |
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| 390 MB | freecoursewb | 5 months | 14 | 0 |
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