Artificial Intelligence Blended

Blended

Artificial Intelligence Blended

Teacher

Elenxia Learning Platform

Last Update:

July 18, 2023

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About Course

Starting Point For Your Career Path…
Our Mission
& Vision

We help undergrad and post grad students struggling to get industrial
experience with our Industry Grade Mentorship programs which help them
to become corporate-ready individuals and possess the skillset to take on
any challenges without any self-doubt.
Mission
Our aim is to become one of the most preferred
education technology platforms across the globe.
Vision
We envision a world in which each students receives the
effective, equitable, and engaging education they need to
reach their full and unique potential

Course Content

Induction Class

Introduction of AI

Programming Elements

Conditions & Loops

Data Structures

Functions & Expection Handling

Add on Topics

Basics of AI

Neural Networks Basics

Backward Propogation

Loss Function and Error

Artificial Neural Networks

Importance of Data Normalization

Classification Metrics – Confusion Matrix

OpenCV Basics

How to Save Deep Learning Mode

CNN Basics

Transfer Learning

Final Project and Doubt Clearing Session

Web App Deployment

Cascade Classifier

Object Detection Demonstration

Support

Instructor
Elenxia Learning Platform
Language
English

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Course Details

Artificial Intelligence Blended

Teacher

Last Update:

Review:

About Course

What Will You Learn?

Course Content

Induction Class

Introduction of AI

Background, Need & Importance Introduction & Installation Writing First Program I/O in Python

Programming Elements

Keywords & Variables Data Types – Numbers & Strings Operations in Python Hands on Implementation

Conditions & Loops

Indentation & Scopes If else & Elif Blocks Introduction to Loops For & While Loops Break & Continue Statements

Data Structures

Lists, Tuples, Sets Dictionaries CRUD Operations on Data Structures Building Rock Paper Scissor with Console

Functions & Expection Handling

Introduction to Function Positional & Keyword Arguments Return Statements Try, Catch & Finally Block

Add on Topics

File Handling – i/o Numpy Arrays Case Studies

Basics of AI

What is AG vs ML vs DL? AG Application Teachable Machine – Demo

Neural Networks Basics

Artificial Neuron Weights, Bias and Activation Function Forward Propogation

Backward Propogation

Optimizer – Gradient Descent and Adam Tensorflow and Keras Basics What are Tensors?

Loss Function and Error

Regression Loss vs Probabilistic Loss MSE – Mean Square Error Simple Neural Network

Artificial Neural Networks

Binary Cross Entropy Artificial Neural Network Sigmoid vs Softmax Activation Function Derivative of Relu and Sigmoid

Importance of Data Normalization

What is Vanishing Gradient? Classification in Deep Learning Image Basics – Pixels

Classification Metrics – Confusion Matrix

What is Overfitting? Regularization Techniques Adding Dropout Layers and Custom Callbacks

OpenCV Basics

What are Filters and Kernals Convolution Operation Blurring,Embossing,Sharpening

How to Save Deep Learning Mode

Minor Projects on Digit Recognizer Streamlit Canvas Brush Strokes and Pixel for Canvas

CNN Basics

Convolutional Layer Pooling Layer Padding and Stride Distance

Transfer Learning

Imagenet Competition VGG16 vs Mobilenet Saved Weights

Final Project and Doubt Clearing Session

Image Data Augmentation Final Project

Web App Deployment

Platform as a Service Profile and Setup File Deployment on Heroku Platform

Cascade Classifier

Shapes in OpenCV Face Detecting using Haar Cascade Detect Multiscale Function

Object Detection Demonstration

Bounding Box, YOLO Algorithm

Support

Tricks & Tips to clear interview questions Most preferred interview questions Resume preparation & Cover

Elenxia Learning Platform

English

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Material Includes

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