COMPUTER VISION

Introduction to Artificial Intelligence (AI)

Evolution of Human Intelligence

What is Artificial Intelligence?

History of Artificial Intelligence

Why Artificial Intelligence now?

AI Terminologies

Areas of Artificial Intelligence

AI vs Data Science vs Machine Learning

AI Data Strategy

Foundation of AI Data

Data Lake

Four Stages of Building and Integrating Data Lakes within Technology Architectures

AI Ethics, Issues and Concerns

Issues and Concerns around AI

AI and Ethical Concerns

AI and Bias

AI: Ethics, Bias, and Trust

AI Challenges, Usecases and Adoption

Challenges of AI Implementation

Pitfalls and Lessons from the Industry

Usecases from top AI Implementation

Future with AI

The Journey for adopting AI successfully

Tensorflow Introduction

Introduction to Tensorflow 2.X

Tensor + Flow = Tensorflow

Components and Basis Vectors

Sequential and Functional APIs

Tensorflow Basic Concepts

Creating a Tensor

Tensor Rank /Degree

Shape of a Tensor

Create Flow for Tensor Operation

Usability-Related Changes

Performance-Related Changes

Installation and Basic Operations in Tf 2.X

Tensorflow 2.X Installation and Setup

Anaconda Distribution Installation

Colab – Free Powerful Lab from Google

Databricks

Tensorflow V1.X  Vs Tensorflow V2.X

Tensorflow Architecture

Tf 2.0 Basic Syntax

Tf 2.0 Eager Mode

Tensorflow Graphs

Variables and Placeholders

Operations and Control Statements

Tf 2.0 Eager Execution Mode

Tf 2.0 Autograph Tf.Function

Application of Tensorflow Platform

Tensorflow 2.X – Keras

Keras Package Introduction

Inbuilt Keras in Tensorflow2.X

Using Keras Modules for Nn Modelling

Structure of Neural Networks

Neural Networks - Inspiration from the Human Brain

Introduction to Perceptron

Binary Classification Using Perceptron

Perceptrons - Training

Multiclass Classification using Perceptrons

Working of a Neuron

Neural Network - Core Concepts

Inputs and Outputs of a Neural Network

Parameters and Hyperparameters of Neural Networks

Activation Functions

Flow of Information in Neural Networks - Between 2 Layers

Learning the Dimensions Weight Matrices

Feed Forward Algorithm

Feedforward Algorithm

Vectorized Feedforward Implementation

Understanding Vectorized Feedforward Implementation

What does training a Network mean?

Complexity of the Loss Function

Comprehension - Training a Neural Network

Updating the Weights and Biases

Backpropagation

Sigmoid Backpropagation

Batch in Backpropagation

Training in Batches

Regularization

Batch Normalization

Building Neural Network from Scratch using Numpy

Imports and Setups

Defining Network Variables

Creating Feed Forward Module

Creating Back Propagation Module

Integrating all Modules for Complete Neural Network

Predictions using the Network Model

Convolutional Neural Networks (CNNs) Introduction

Introduction To CNNs

Image Processing Basics

Understanding Mammals Eye Perception

Understanding Convolutions

Stride and Padding

Important Formulas

Weights of a CNN

Feature Maps

Pooling

Putting the Components Together

CNNs with KERAS – Tf 2.X

Building CNNs In Keras - Mnist

Comprehension - Vgg16 Architecture

Cifar-10 Classification with Python

Overview of CNN Architectures

Alexnet and Vggnet

Googlenet

Residual Net

Transfer Learning in CNN

Introduction to Transfer Learning

Use Cases of Transfer Learning

Transfer Learning with Pre-Trained CNNs

Practical Implementation of Transfer Learning

Transfer Learning in Python

An analysis of Deep Learning Models

Style Transfer

Introduction to Style Transfer

Style Loss and the Gram Matrix

Loss Function

Style Transfer Notebook

Object Detection

Flowers Dataset with Tf 2.X

Examining the Flowers Dataset

Data Preprocessing: Shape, Size and Form

Data Preprocessing: Normalisation

Data Preprocessing: Augmentation

Data Preprocessing: Practice Exercise Solutions

Resnet Modeling

Resnet: Original Architecture and Improvements

Building the Network

Ablation Experiments

Hyperparameter Tuning

Training and Evaluating the Model

Examing X-Ray with CNN Model

Examining X-Ray Images

Cxr Data Preprocessing – Augmentation

Cxr: Network Building