Train Image Classification Models, build Android Kotlin Apps

سرفصل های دوره

Train Custom Image Classification Models from Scratch | Use Image Recognition Models in Android with Images or Videos

1. Introduction

1. Introduction

2. Image Classification Introduction & Applications

2. Machine Learning & Deep Learning for Flutter

1. What is Machine Learning

2. Supervised Machine Learning

3. Regression and Classification

4. Unsupervised Machine Learning & Reinforcement Learning

5. Deep Learning and Neural Network Introduction

6. Neural Network Example

7. Working of Neural Networks for Image Classification

8. Basic Concepts of Machine Learning

3. Data Collection - Collecting Dataset for Training Image Classification Model

1. Data Collection Introduction

2. Finding ready to use dataset for training image classification models

3.1 dataset.zip

3. Exploring Downloaded dataset for training custom image classification models

4. Find and Download A Dataset for Brain Tumor Classification using MRI.html

4. Train Your First Custom Image Classification Model in 15 Minutes

1. Section Introduction

2. Exploring Teachable Machine and Uploading Dataset for Model Training

3. Training, Testing and Converting Model into Tensorflow Lite

4. Attaching Metadata with Trained Tensorflow Lite Models

5. Google Colab Introduction

6.1 metadata writer tutorial.zip

6. Attaching Metadata and Downloading Ready to Use Model

5. Training Custom Image Classification Model with Transfer Learning

1. Transfer Learning Introduction

2. Google Colab Introduction

3.1 2024 training image classification models.zip

3. Installing and Importing Libraries for Model Training

4. Uploading Dataset and Connecting Google Drive

5. Dividing dataset into train test and validation parts

6. Training Custom Image Classification Model

7. Testing the model and Converting it to Tensorflow Lite Format

6. Training Brain Tumor Classification Model

1. Train Brain Tumor Classification Model.html

7. Android App Development

1. Section Introduction

8. Image Picker Android - Choose or Capture Images

1. Creating a new Android Studio Project and Building GUI of Android App

2. Choosing Images from Gallery in Android

3. Capturing Images using Camera in Android

4. File Provider Share Data Between Android Apps Securely

5. Capturing Images in Android Overview

9. Image Classification With Images

1.1 4 Image Classification With Images.zip

1.2 imagepicker.zip

1. Adding Tesnorflow Lite Model & Libraries in Android

2. Analyzing and loading Tesnorflow Lite Model in Android

3. Passing Input to tflite model and getting output in Android

4. Showing Results of Custom Image Classification Model on Screen in Android

10. Background Of Using Tensorflow Lite Models in Android

1. Loading Tensorflow Lite Model in Android

2. Passing input to the Tesnorflow Lite model and Getting output

3. How Tensorflow Lite Models return Results in Android

4. Converts Model Output into Results in Android

11. Using Transfer Learning Trained Model in Android & GUI Improvements

1. Using Transfer Learning Trained Model in Android

2. Improving GUI of Image Classification with Images Application

12. Display Live Camera Footage in Android with Camera2 API

1. Creating New Android Project and handling Camera Permission

2.1 Realtime Camera Footage.zip

2. Displaying Live Camera Footage in Android with Camera2 API

3. How we are displaying Camera in Android

4. Getting Frames of Live Camera Footage as Bitmaps in Android

13. Realtime Image Classification Android

1.1 RealTimeImageClassification.zip

1. Adding Models and Libraries in Android Studio Proect

2. Loading Tensorflow Lite Models in Android and Passing Frames of Camera

3. Showing Models results on Screen in Android

4. Using Transfer Learning Trained Model in Android

5. Setting Confidence Threshold in Android

6. Working on GUI of Realtime Image Classification Android Application

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تولید کننده: Udemy