Flutter Android iOS Drawing to Real Life Generator App 2024
Flutter Android iOS Drawing to Real Life Generator App 2024, available at $54.99, has an average rating of 4.05, with 30 lectures, based on 17 reviews, and has 152 subscribers.
You will learn about 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. This course is ideal for individuals who are Anyone having a (PC) Computer – Windows OS or or Anyone have a MacBook or iMac – MAC OS It is particularly useful for Anyone having a (PC) Computer – Windows OS or or Anyone have a MacBook or iMac – MAC OS.
Enroll now: Flutter Android iOS Drawing to Real Life Generator App 2024
Summary
Title: Flutter Android iOS Drawing to Real Life Generator App 2024
Price: $54.99
Average Rating: 4.05
Number of Lectures: 30
Number of Published Lectures: 30
Number of Curriculum Items: 30
Number of Published Curriculum Objects: 30
Original Price: $19.99
Quality Status: approved
Status: Live
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.
Who Should Attend
- Anyone having a (PC) Computer – Windows OS
- or Anyone have a MacBook or iMac – MAC OS
Target Audiences
- Anyone having a (PC) Computer – Windows OS
- or Anyone have a MacBook or iMac – MAC OS
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.
Course Curriculum
Chapter 1: Introduction
Lecture 1: Course Introduction
Chapter 2: Flutter SDK Complete Setup – Step by Step
Lecture 1: For Windows users – Flutter Setup
Lecture 2: For MAC users – Flutter Setup
Chapter 3: Create and Setup a New Flutter Project
Lecture 1: Setup a New Flutter Project
Chapter 4: Create Home Screen
Lecture 1: Building and Setting the Home Screen UI Part 1
Lecture 2: Building and Setting the Home Screen UI Part 2
Chapter 5: Add Splash Screen
Lecture 1: Adding and Designing the Splash Screen Ui
Chapter 6: Draw and Display Sketching Functionality
Lecture 1: Implementing the Draw Sketching Functionality
Lecture 2: Implementing the Draw and Display Sketch – Part 1
Lecture 3: Implementing the Draw and Display Sketch – Part 2
Lecture 4: Implementing the Draw and Display Sketch – Part 3
Lecture 5: Implementing the Draw and Display Sketch – Part 4
Chapter 7: Download & Install Anaconda – Install KERAS TENSORFLOW FLASK in our Environment
Lecture 1: Download & Installing Python
Lecture 2: Download & Installing Anaconda
Lecture 3: Installing and Setup Keras, TensorFlow, Flask in our ML Environment
Chapter 8: Download Datasets and Train our Generator Model
Lecture 1: Pix2Pix Algorithm
Lecture 2: Download these Files
Lecture 3: Start Training Model using Humans DataSet and Save the Trained Model
Chapter 9: Neural Network – Trained Model
Lecture 1: Neural Network – Trained Model
Chapter 10: Building Flask Server || Building our API
Lecture 1: Build Flask Server || Building API – Part 1
Lecture 2: Build Flask Server || Building API – Part 2
Chapter 11: Connect to our Flask Server using API from our Flutter App
Lecture 1: Connect to Server using API
Lecture 2: Passing Sketch to Neural Network using our API & Get Predicted Image Result
Lecture 3: Calling the Save Sketch to Image Method
Chapter 12: Finish the App and Testing the App
Lecture 1: PredictFace Class
Lecture 2: Finishing and Testing the App
Chapter 13: Project Complete Source Code
Lecture 1: Project Source Code
Chapter 14: Congratulations – Where to go from here
Lecture 1: Congratulations
Lecture 2: Please Rate our Course
Lecture 3: Thank you
Instructors
-
Coding Cafe
Web and Mobile Applications Development
Rating Distribution
- 1 stars: 1 votes
- 2 stars: 2 votes
- 3 stars: 0 votes
- 4 stars: 2 votes
- 5 stars: 12 votes
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