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Learn and Free [Download] Android Machine Learning with TensorFlow lite in Java/Kotlin 2022 Udemy Course gratis With Bluff Download Tie-in.
Android Machine Learning with TensorFlow lite in Java/Kotlin Download
Learn Machine Learning use in Android using Kotlin Java Android studio and Tensorflow Lite , Bod 10+ ML Android Apps
What you'll memorise
- Discipline machine acquisition models on datasets and nonindustrial Android Applications
- Use Trained Machine Encyclopaedism models inside Humanoid Application using Android Studio
- Take 10+ political machine learning models and build Android Application for those models
- Learn Rudiments of Python Programing language
- Check popular Machine Learning libraries like Numpy,Pandas and Matplotlib
- Full-blown understanding of Machine Learning ,Deep Learning and Neural Networks
- Learn basics of Tensorflow 2.0
- Learn about Tensorflow Low-cal
- Generating Tensorflow lite model from Keras model, saved model, concrete occasion
- Train and deploy classification and regression models
- Training recognition models and creating Android Applications for those models
- Deploy Motorcar Learning models using Android Studio
Requirements
- Basic knowledge of Android Growth
Description
Requirements
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You should have some basic knowledge of Android App Evolution using Coffee or Kotlin
Sick of traditional Android App Development courses? Now its sentence to get word something fres and trending for Humanoid. Machine Learnedness is at its peak and Mechanical man App Development is also in demand than what is amend than eruditeness both?
This course is designed for Android developers who neediness to learn Machine Erudition and deploy machine scholarship models in their mechanical man apps using TensorFlow Lite. If you have identical canonic knowledge of Android App development and want to acquire Machine Learning use in Mechanical man Applications this course is for you. This class will aim you started in building your FIRST deep learning mould and Android Application using both java and Kotlin Tensorflow Lite, and Android studio. We will learn about car learning and in depth learning then condition your first mold and deploy it in humanoid lotion using Android studio. Wholly the materials for this track are FREE.
You can implement Application form during the apps exploitation both Java and kotlin. Separate Lectures are provided for both of these languages.
You don't ask whatever prior knowledge of Machine Learning to start this run. We will start by learning
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Python Programming Language
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Data Science Libraries
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Basics of Machine Learning and Inscrutable Learning
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Tensorflow and Tensorflow Lite
So we testament train our world-class Machine Learning model and Germinate Android Application for information technology using Humanoid Studio apartment.
The course includes examples from basic to advance
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A very simple example
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Example victimization saved model
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Example using existent function
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Predicting fuel efficiency of automobiles (Simple regression Example)
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Recognizing handwritten digits (Classification instance)
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Cats and Dogs classification
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Rock Paper and Scissors Job
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Flowers Recognition Example
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Stones Recognition Example
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Fruits Recognition Example
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Predicting Seaworthiness of a person Practice Activity
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Human and Horse Practice Activity
For each of these examples, we will firstly train Machine Learnedness model then build Android Application
We will start past encyclopedism about the fundamentals of the Python programming terminology. Then we will get wind about some famous Machine Learning libraries like Numpy, Matplotlib, and Pandas. After that, we will learn about Motorcar learning and its types. Then we look at Supervised eruditeness in point. We will try to understand classification and regression through examples. After we wish start Deep-water learning. We start by looking and the basic structure of neural networks. Then we wish understand the working of neural networks through an lesson.
Then we wish learn roughly the Tensorflow 2.0 depository library and how we can use it to train Machine Learning models. After that, we testament consider Tensorflow lite how we can convince our Automobile Learnedness models to tflite format which will be used inside Humanoid Applications. There are three slipway through which you can go a tflite file
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From Keras Theoretical account
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From Concrete Function
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From Saved Modeling
We will cover all these three methods in this course.
We will learn about Feed Forwarding, Back Propagation, and activation functions through a practical example. We also view cost function, optimizer, learning rate, Overfitting, and Dropout. We will too learn about data preprocessing techniques like One hot encoding and Data normalisatio.
Next, we implement a neural network victimisation Google's inexperienced TensorFlow library.
You should take this course If you are an Android Developer and want to learn the rudiments of machine encyclopedism(Deep Learning) and deploy ML models in your Android applications using Tensorflow fat-free and Android Studio apartment.
This naturally provides you with many practical examples so that you can in truth see how you can train and deploy machine learning model in android. We testament expend Android Studio for developing Android Application for models we house-trained.
Another section at the end of the row shows you how you hindquarters use datasets available in different formats for a total of possible purposes.
Later getting your feet wet with the fundamentals, I provide a brief overview of how you can add your machine learning model in google's existing android machine learning project templates.
Suggested Prerequisites:
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Basic Knowledge of Android App Development
TIPS (for acquiring through the course):
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Publish code yourself, assume't just sit there and look at my code.
Who this course of action is for:
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Beginner Android Developers want to make their Android applications smart
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Humanoid Developers want to use Machine Learnedness in their Android Applications
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Developers interested in the practical implementation of Machine Learning and computer vision
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Students interested in machine learning – you'll get all the tidbits you need to add machine learning models in android using Android studio
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Professionals who want to use machine encyclopaedism models in Android Application.
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Machine Learning experts want to deploy their models in Android victimisation Android studio and Tensorflow lite
Who this course of instruction is for:
- Android Developers singular about Machine Learning
- People having basic knowledge of Android Development
- Mass neediness to arrive at their Android Applications smart
Android Machine Learning with TensorFlow lite in Java/Kotlin Free Download
Germ: https://www.udemy.com/course/machine-learning-for-android-developer-using-tensorflow-lite/
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