IOS & ML: Train Machine Learning models for IOS SwiftUI Apps

سرفصل های دوره

Use Tensorflow Lite models in IOS with SwiftUI | Train Machine Learning Models for IOS Swift Applications | SwiftUI

1. Introduction

1. Introduction

2. Machine Learning & Deep Learning for IOS Swift

1. Machine Learning Introduction

2. Supervised Machine Learning Regression & Classification

3. Unsupervised Machine Learning & Reinforcement Learning

4. Deep Learning and regression models training

5. Basic Deep Learning Concepts

3. Python Programming Language for IOS Swift

1. Google Colab Introduction

2.1 Python.zip

2. Python Introduction & data types

3. Python Lists

4. Python dictionary & tuples

5. Python loops & conditional statements

6. File handling in Python

4. Data Science Libraries for IOS

1.1 DataScience Libraries.zip

1. Numpy Introduction

2. Numpy Operations

3. Numpy Functions

4. Pandas Introduction

5. Loading CSV in pandas

6. Handling Missing values in dataset with pandas

7. Matplotlib & charts in python

8. Dealing images with Matplotlib

5. Tensorflow & Tensorflow Lite for IOS Swift

1.1 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

6. Training a basic regression model for IOS Swift

1. Section Introduction

2.1 Basic Example.zip

2. Train a simple regression model for IOS Swift

3. Testing model and converting it to a tflite(Tensorflow lite) format for IOS

4. Model training for IOS Swift app development overview

5. Creating a new IOS SwiftUI project and the GUI of Swift Application

6. Adding Tensorflow Lite Models in IOS Swift Application

7. Loading Tensorflow Lite Models in IOS Swift Application

8. Preparing Input for Tensorflow Lite Models and Passing it in IOS Swift App

9. Getting Output from Tensorflow Lite model and showing it on IOS Swift App

10. Tensorflow Lite Models Integration in IOS Swift App Overview

7. Training a Fuel Efficiency Prediction Model for IOS Swift Application

1. Section Introduction

2.1 FuelEfficiencyPrediction.zip

2. Getting datasets for training regression models for IOS

3. Loading dataset in python with pandas

4. Handling Missing Values in Dataset

5. One Hot Encoding Handling categorical columns

6. Training and testing datasets

7. Normalization Bringing all columns to a common scale

8. Training a fuel efficiency prediction model for IOS Swift Application

9. Testing fuel efficiency prediction model and converting it to a tflite format

10. Fuel Efficiency Model Training Overview

8. Fuel Efficiency Prediction IOS Swift Application

1. Setup Starter IOS Application for Fuel Efficiency Prediction

2. GUI of Fuel Efficiency Prediction IOS Application

3. Adding Tensorflow Lite Library in IOS Swift Application

4. Loading Fuel Efficiency Prediction tflite model in IOS Swift Application

5. Preparing Input for Tensorflow Lite Model

6. Passing input to tflite model and getting output in IOS Swift Application

7. Normalizing Input for Tensorflow Lite Models in IOS Swift Application

8. Important things to remember while using Tensorflow Lite Models in IOS Apps

9. Training House Price Prediction Model for IOS

1. Section Introduction

2.1 HousePricePrediction.zip

2. Getting house price prediction dataset

3. Load dataset for training house price prediction tflite model for IOS

4. Training & evaluating house price prediction model for IOS

5. Retraining price prediction model

10. House Price Prediction IOS Application

1. Setting Up House Price Prediction IOS Swift Application

2. GUI of House Price Prediction IOS Swift Application With SwiftUI

3. Adding Tensorflow Lite Library in IOS Swift Application

4. Loading Tensorflow Lite Model in IOS Swift Application

5. Passing Input to Tensorflow Lite Model and Get prediction for House Price

6. House Price Prediction Application Testing

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تولید کننده: Udemy