Android 15 & ML – Train Tensorflow Lite Models for Android

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Train Image Classification, Object Detection and Regression models for Android - Build Smart Android Kotlin Applications

1 - Machine Learning & Deep Learning for Android App Development

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 Deep Learning Concepts

2 - Python Programming Language Short Course

1 -Google Colab Introduction

2 -Python.zip

2 -Python Introduction & data types

3 -Python Numbers

4 -Python Strings

5 -Python Lists

6 -Python dictionary & tuples

7 -Python loops & conditional statements

8 -File handling in Python

3 - Data Science Libraries for Android

1 -DataScience+Libraries.zip

1 -Numpy Introduction

2 -Numpy Functions and Generating Random Values

3 -Numpy Operators

4 -Matrix Multiplications and Sorting in Numpy

5 -Pandas Introduction

6 -Loading CSV in pandas

7 -Handling Missing values in dataset with pandas

8 -Matplotlib & charts in python

9 -Dealing images with Matplotlib

4 - Tensorflow & Tensorflow Lite for Flutter

1 -Tensorflow.zip

1 -Tensorflow Introduction Variables & Constants

2 -Shapes & Ranks of Tensors

3 -Matrix Multiplication & Ragged Tensors

4 -Tensorflow Operations

5 -Generating Random Values in Tensorflow

6 -Tensorflow Checkpoints

7 -Tensorflow Lite Introduction & Advantages

5 - Training a basic regression model for Android

1 -BasicExample.zip

1 -Train a simple regression model for Android

2 -Testing model and converting it to a tflite(Tensorflow lite) format for Android

3 -Model training for Android app development overview

4 -Creating a new Android Studio Project and GUI of Application

5 -Adding Tensorflow Lite Library In Android & Loading Tensorflow Lite Model

6 -Passing Input to Tensorflow Lite Model in Android and Getting Output

6 - Fuel Efficiency Prediction Training an advance regression model

1 -Section Introduction

2 -Data Collection Finding Fuel Efficiency Prediction Dataset

2 -FuelEfficiencyPrediction.zip

3 -Loading Dataset in Python for Model Training

4 -Handling missing Values in Fuel Efficiency Prediction Dataset

5 -Handling Categorical Columns in Dataset for Model Training

6 -Training and testing datasets

7 -Normalization Introduction

8 -Dataset Normalization

9 -Training Fuel Efficiency Prediction Model in Tensorflow

10 -Testing Trained Model and converting it to Tensorflow Lite Model

11 -Training Fuel Efficiency Prediction Model Overview

7 - Fuel Efficiency Prediction Android Application

1 -Setting up Android Application for fuel efficiency prediction

2 -Loading Tensorflow Lite models & performaning normalization in Android

3 -Passing input to Tensorflow Lite model in Android and getting output

4 -Testing fuel efficiency prediction android application

8 - Training a House Price Prediction Model & Building Android App

1 -Section Introduction

2 -Getting dataset for training house price prediction model

2 -HousePricePrediction.zip

3 -Loading dataset for training tflite model

4 -Training & Evaluating house price prediction model

5 -Retraining House Price Prediction Model

6 -House Price Prediction Android App

7 -Test the Android App

9 - Image Classification

1 -Image Classification Introduction & Applications

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تولید کننده: Udemy