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Mobile Machine Learning For Android Tensorflow Python

Course

MOBILE MACHINE LEARNING FOR ANDROID TENSORFLOW PYTHON

Category

Python and Machine Learning Software Training

Eligibility

Technology Learners

Mode

Regular Offline and Online Live Training

Batches

Week Days and Week Ends

Duration :

30 to 45 days

Python and Machine Learning Objectives

•Learn Fundamental Concepts of Python and Machine Learning
•Learn to write Array in Python and Machine Learning.
•Learn Python and Machine Learning best practices and become a blackbelt.
•Build deploy and run your Python and Machine Learning configuration and code.
•Understand when and how to use Python and Machine Learning elements variables.
•Learn all the relevant skills needed to use Python and Machine Learning efficiently
•This course will teach you how to get moving in Python and Machine Learning.
•Learn all the topics from Python and Machine Learning from the basics to advanced topics
•Python and Machine Learning -Learn how to use one component inside an other i.e complex components.

mobile machine learning for android tensorflow python Training Highlights

•Get job-ready for an in-demand career
•Course delivery through industry experts
•Fast Track course available with best Fees
•Online Training with 100% placement assistance
•Highly Experienced Trainer with 10+ Years in MNC Company
•Project manager can be assigned to track candidates’ performance
•Affordable fee structure to help as many students strive career in IT industry
• Our dedicated HR department will help you search jobs as per your module & skill set, thus, drastically reducing the job search time

Who are eligible for Python and Machine Learning

•Architect, Lead, Developer, Project Manager, Verification Engineer, Rtl Design, Physical Design, L3 Support Engineer, Cloud Computing, Big Data Engineer
•Java Developer, .net c#.net asp.net vb.net sqlserver, oracle, mainframe cobol cics db2 jcl, banking financial services, telecom, ccna ccnp networking mcse, W2
•Java Fullstack Developer, Java, Javascript, Data Structures, OOPS, Cassandra, NoSQL, Big Data, CI, XSLT, Maven, XML, Web Services, Microservices, SQL, Rest
•php, wordpress, drupal, Iphone Developer, Android, Java, Team Management, Android Developer, Mobile Application Development
•UI/UX Architect, C#, Asp.Net, Javascript, CSS, Ajax, HTML, MS SQL, Azure, SugarCRM, Php, MVC, MYSQL, CodeIgniter, Android Developer, HTML5, CSS3, JQuery

MOBILE MACHINE LEARNING FOR ANDROID TENSORFLOW PYTHON Syllabus

Update! Resources
•(Beginner Level) Intro to Android Studio
•Intro to Android
•Downloading and Installing Android Studio
•Exploring Interface
•Setting up Emulator and Running Project
•(Beginner Level) Intro to Java
•Java Language Basics
•Variable Types
•Operations on Variables
•Arrays and Lists
•Array and List Operations
•If and Switch Statements
•While Loops
•For Loops
•Functions Intro
•Parameters and Return Values
•Classes and Objects Intro
•Superclass and Subclasses
•Static Variables and Axis Modifiers
•Declaring Fields
•Declaring Methods
•Hello Mammoth
•Print “Hello Mammoth”
•(Beginner Level) Intro to App Development
•Intro to Android App Development
•Building User Interface
•Connecting UI to Backend
•Implementing Backend and Tidying UI
•(Beginner Level) Intro to Machine Learning Concepts
•ML Concepts Intro
•Intro to PyCharm
•Installing PyCharm and Python
•Exploring PyCharm
•(Files) Source Code
•(Beginner Level) Python Language Basics
•Intro to Variables
•Variables Operations and Conversions
•Collection Types
•Collections Operations
•Control Flow: If Statements
•While and For Loops
•Functions
•Classes and Objects
•(Beginner Level) Intro to TensorFlow
•TensorFlow Intro
•Topics List
•Importing TensorFlow to PyCharm
•Constant Nodes and Sessions
•Variable Nodes
•Placeholder Nodes
•Operation Nodes
•Loss, Optimizers, and Training
•Building a Linear Regression Model
•Simple MNIST
•Intro & Demo: Simple MNIST
•Topics List and Intro to MNIST Data
•Building Computational Graph
•Training and Testing Model
•Saving Graph for Android Import
•Setting up Android Studio Project
•Loading Digit Images
•Formatting Image Data
•Making Prediction Using Model
•Displaying Results and Summary
•Advanced MNIST
•Intro & Demo: Advanced MNIST
•Building Neuron Functions
•Building the Convolutional Layers
•Dense, Dropout, & Readout Layers
•Loss & Optimizer + Training & Testing
•How to Optimize a Saved Graph
•Setting up Android Project
•Setting up UI
•Load and Display Digit Images
•Formatting Model Input
•Weather Prediction
•Intro & Demo: Weather Prediction
•Tasks List
•Retrieving Data
•Formatting Datasets
•Writing, Training, & Evaluating Functions
•Training, Testing, and Freezing Model
•Build App Backend and Project Summary
•UPDATED: Source Files from Mammoth Interactive
•Please rate this course
•Beginner Level Intro to Android Studio
•Beginner Level Intro to Java
•Challenge! Java Coding Exercises
•Beginner Level Intro to App Development
•Beginner Level Intro to Machine Learning Concepts
•Beginner Level Python Language Basics
•Beginner Level Intro to TensorFlow