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Machine Learning And Deep Learning With Javascript




Java Online Training


Working Professionals and Freshers


Regular Offline and Online Live Training


Week Days and Week Ends

Duration :

Daily 2 hrs during Weekdays

Java Objectives

•Troubleshoot advanced models in Java.
•Learn how to use and interpret Java.
•Learn Everything you need to know about Java
•How to write Java scripts to automate redundant tasks.
•Step by step tutorial to help you learn JavaWhat is Java and How to Build apps using Java.
•Learn A to Z of Java from Basic to ADVANCE level.
•Understand Java and how to use it in designing and building apps.
•Learn the essential skills to level-up from beginner to advanced Java developer in 2021!

machine learning and deep learning with javascript Course Features

•Career guidance providing by It Expert
•Course delivery through industry experts
•Learn Core concepts from Leading Instructors
•Personal attention and guidance for every student
•Indutry oriented training with corporate casestudies
• Finessing your tech skills and help break into the IT field
•Live project based on any of the selected use cases, involving implementation of the concepts
•This Instructor-led classroom course is designed with an aim to build theoretical knowledge supplemented by ample hands-on lab exercises

Who are eligible for Java

•.Net Developer, SilverLight, MVC3, Entity Framework 4, WCF, SQL/PLSQL, c#, SQL Server 2008, HTML5, .Net
•Digital Marketing, General Manager, Business Development, Product Manager, Big Data, Business Analyst, Frontend Developer, Human Resources, data
•Java Developer, Production Support, Asp.Net, Oracle Applications, Pl Sql Developer, Hyperion Planning, Dot Net, UI Designer, UI Developer, MS CRM, Hardware
•QT Developer, STB Domain, CAS, UX DESIGNER, UI Developer, HTML5, CSS3, JAVAScript, JQUERY, FIREWORKS, Adobe Photoshop, Illustratot, Embedded C++
•Software Engineer, Business Operational Analyst, Project Manager, Software Test Engineer, Android Developers, HTML5 Developers, IT Help Desk, IT Freshers


Hands-On Machine Learning using JavaScript
•The Course Overview
•Introduction to Machine Learning
•Tour of the JavaScript Machine Learning Landscape
•Setting Up Our Machine Learning Environment
•Understand Regression with Linear Regression
•Understanding How Linear Regression Works
•Predicting Salaries after College Using Linear Regression
•Understand Classification with Logistic Regression
•Classifying Clothes Using Logistic Regression
•Model Evaluation
•Better Measures than Accuracy
•Understanding the Results
•Improving the Models
•What are Support Vector Machines?
•Using SVM Kernels to Transform Problems
•Image Classifier Using SVM
•Making Better Decision with Decision Trees
•Combining Decision Trees to Make Better Predictions
•Predicting Customer Churn Using Random Forests
•Introduction and Advantage of Unsupervised Learning
•Grouping Unlabeled Data in Meaningful Ways Using K-means Clustering
•Using Principal Component Analysis to Speed-up Machine Learning Algorithms
•Analyzing Plant Species Using K-means Clustering
•Introduction to Neural Networks
•How a Neural Network Works
•Neural Networks in Tensorflow.js
•Multiclass Classification Using TensorFlow.js
•Test your knowledge
•Hands-On Machine Learning with TensorFlow.js
•Getting Started with TensorFlow.js Using a Simple Example to Predict Weight
•Types of Supervised Learning
•Applying Regression
•Predicting Salaries after College Using TensorFlow
•Applying Classification
•Predicting Mental Health Issues Using Logistic Regression
•Understanding Simple Neural Networks
•Concepts in Neural Network
•Working with Deep Neural Networks
•Image Classification Using Neural Networks
•Optimizing the Models
•Using High-Level Layers API to Construct Neural Networks
•Building Advanced Neural Networks with Layers Easily
•Detecting Digits Using Layers
•Building A Classifier Using Layers
•Importing a Keras Model into TensorFlow.js
•Saving and Loading TensorFlow Models
•Importing TensorFlow SavedModel into TensorFlow.js
•Playing PAC-MAN Using a Webcam
•Deep Learning Projects with JavaScript
•What Makes Deep Learning in JavaScript Special?
•Getting Started with TensorFlow.js
•Loading Pre-Trained CNN and LSTM Models
•Preparing a New Text for Sentiment Analysis
•Using Loaded Model for Real-Time Text Analysis
•Loading a Set of Pre-Trained CNN Models for Emotion Detection in Photos
•Preparing a New Image for Analysis
•Using Our Models for Photo Emotion Detection
•Loading a Pre-Trained CNN Model for Voice Emotion Detection
•Preparing a New Audio Sample for Analysis
•Using the Loaded CNN Model for Detecting Emotions in Speech
•Create a New Model Based on a Pre-Trained CNN Model
•Getting and Preparing a New Audio Sample for Training and Testing
•Training and Testing the New Model
•Getting and Preparing Audio Sample
•Building a CNN Model for Emotion Detection
•Training and Testing the Model
•Using Trained CNN Model on New Audio Samples