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https://github.com/maklonfr/animalsclassificationdeeplearning

Submission Dicoding Indonesia - Middle Class Machine Learning Engineering (Animals Classification Project). Testing Model using AndroidApp (Kotlin Programming) & WebApp (HTML CSS & Javascript Programming)
https://github.com/maklonfr/animalsclassificationdeeplearning

android-application animals cnn-classification deep-learning dicoding-submission kotlin-android machine-learning savemodel tensorflowjs tflite-models

Last synced: 4 days ago
JSON representation

Host: GitHub
URL: https://github.com/maklonfr/animalsclassificationdeeplearning
Owner: MaklonFR
Created: 2024-08-21T02:43:37.000Z (4 months ago)
Default Branch: main
Last Pushed: 2024-08-27T01:33:49.000Z (4 months ago)
Last Synced: 2024-12-18T23:43:05.721Z (4 days ago)
Topics: android-application, animals, cnn-classification, deep-learning, dicoding-submission, kotlin-android, machine-learning, savemodel, tensorflowjs, tflite-models
Language: Jupyter Notebook
Homepage:
Size: 38.2 MB
Stars: 0
Watchers: 1
Forks: 0
Open Issues: 0
Metadata Files:
- Readme: README.md

Awesome Lists containing this project

README

        Submision Dicoding Indonesia - Kelas Belajar Pengembangan Machine Learning (Intermediate)

Mempelajari tentang berbagai penerapan deep learning mulai dari klasifikasi gambar dan teks, time series, sistem rekomendasi, hingga Generative AI.

**1. Result Training Model**

![image](https://github.com/user-attachments/assets/b44e9b62-0c7e-4521-bea0-de6a39cf3c8e)

![image](https://github.com/user-attachments/assets/1020d135-9335-428b-912e-0f6f464cf3f4)

![image](https://github.com/user-attachments/assets/4f5af3a2-3153-42e3-a4e5-d32809f9fe11)

**2. Testing Model CNN (TFLite Model) in Android App using Kotlin Programming**

![image](https://github.com/user-attachments/assets/7bc51ca7-7ae5-4f67-b612-2aa4a02c14d5)

**3. Testing Model CNN (TFJS Model) in WebApp using HTML CSS & Javascript**

![image](https://github.com/user-attachments/assets/472e2d48-b2f4-4fc1-82d1-eb3588cab88b)

**3. Link YouTube**

https://youtu.be/2CRgmmI1Ez4