Udemy

Platform

English

Language

Mobile Apps

Category

Flutter 2 Android & iOS Drawing to Real Life Generator App

Build Flutter Ai Deep Learning & Machine Learning Mobile Application with Python - Sketch to Real Human Face Converter

5.00 (3 reviews)

Students

4 hours

Content

Jun 2021

Last Update
Regular Price

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What you will learn

Artificial Intelligence for Mobile Apps Development

Learn How to Make Creative and Innovative Apps using Deep Learning for Mobile Apps

Learn How to Make Creative and Innovative Apps using Machine Learning for Mobile Apps

How to use and Make AI Apps using Pix2Pix Algorithm for Flutter Mobile Apps Development

Skills and Tools to Build Next Billion Dollar A.I Startup

and much more.


Description

In this course you will learn how to make AI application using flutter where user can draw sketch and this sketch will be converted in real human face. We will make this app using flutter and python with Pix2Pix Algorithm.

Artificial intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to think like humans and mimic their actions. The term may also be applied to any machine that exhibits traits associated with a human mind such as learning and problem-solving.

Pix2Pix is a creative algorithm or application for artificial intelligence that can turn a crude line drawing into an oil painting using a simple line drawing as its reference point, Pix2Pix converts it into an oil painting based on its understanding of shapes, human drawings and the real world.

Pix2pix uses a conditional generative adversarial network (cGAN) to learn a function to map from an input image to an output image. The network is made up of two main pieces, the Generator, and the Discriminator. The Generator transforms the input image to get the output image.

The Pix2Pix model is a type of conditional GAN, or cGAN, where the generation of the output image is conditional on an input, in this case, a source image. The discriminator is provided both with a source image and the target image and must determine whether the target is a plausible transformation of the source image.

The CycleGAN is a technique that involves the automatic training of image-to-image translation models without paired examples. The models are trained in an unsupervised manner using a collection of images from the source and target domain that do not need to be related in any way.



Screenshots

Flutter 2 Android & iOS Drawing to Real Life Generator App
Flutter 2 Android & iOS Drawing to Real Life Generator App
Flutter 2 Android & iOS Drawing to Real Life Generator App
Flutter 2 Android & iOS Drawing to Real Life Generator App

Content

Introduction

Course Introduction

Flutter SDK Complete Setup - Step by Step

For Windows users - Flutter Setup

For MAC users - Flutter Setup

Create and Setup a New Flutter Project

Setup a New Flutter Project

Create Home Screen

Building and Setting the Home Screen UI Part 1

Building and Setting the Home Screen UI Part 2

Add Splash Screen

Adding and Designing the Splash Screen Ui

Draw and Display Sketching Functionality

Implementing the Draw Sketching Functionality

Implementing the Draw and Display Sketch - Part 1

Implementing the Draw and Display Sketch - Part 2

Implementing the Draw and Display Sketch - Part 3

Implementing the Draw and Display Sketch - Part 4

Download & Install Anaconda - Install KERAS TENSORFLOW FLASK in our Environment

Download & Installing Python

Download & Installing Anaconda

Installing and Setup Keras, TensorFlow, Flask in our ML Environment

Download Datasets and Train our Generator Model

Pix2Pix Algorithm

Start Training Model using Humans DataSet and Save the Trained Model

Neural Network - Trained Model

Neural Network - Trained Model

Building Flask Server || Building our API

Build Flask Server || Building API - Part 1

Build Flask Server || Building API - Part 2

Connect to our Flask Server using API from our Flutter App

Connect to Server using API

Passing Sketch to Neural Network using our API & Get Predicted Image Result

Calling the Save Sketch to Image Method

Finish the App and Testing the App

PredictFace Class

Finishing and Testing the App

Congratulations

Congratulations


Reviews

S
Steven8 April 2021

Thank you for sharing all of your valuable knowledge. Great teacher with very excellent and good clarity. Thank you for everything.

M
Muhammad8 April 2021

Muhammad Ali is an excellent teacher, his explanations are very well, excellent and clear. This course is perfect for anyone who want to learn how to apply deep learning into mobile apps. Very recommend even if you are a beginners level or at advances level. Thank you


3955922

Udemy ID

4/2/2021

Course created date

4/18/2021

Course Indexed date
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