ARTIFICIAL INTELLIGENCE

ARTIFICIAL INTELLIGENCE Training provided by DataMites Institute Training Institute in Bangalore,Bommanahalli

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Created by DataMites Institute Training Institute staff Last updated Tue, 17-May-2022 English


ARTIFICIAL INTELLIGENCE free videos and free material uploaded by DataMites Institute Training Institute staff .

Syllabus / What will i learn?

 

Artificial Intelligence Foundation

Introduction To Artificial Intelligence (AI)

AI Data Strategy

AI Ethics

Issues And Concerns

AI Challenges

Use Cases And Adoption

Machine Learning

Data Science And ML Introduction

Mathematics For ML

Learning Methods

Popular ML Algorithms

Building Classification Models

Building Regression Models

Beyond Machine Learning

Tensorflow 2.X Platform

Tensorflow Introduction

Tensorflow Basic Concepts

Installation And Basic Operations In Tf 2.X,Tf 2.0 Eager

Mode, Tensorflow 2.X - Keras

Core Learning Algorithms

Core Learning Algorithms Introduction

Regression With Tensorflow

Classification With Tensorflow

Neural Networks

Structure Of Neural Networks,

Neural Network - Core Concepts

Feed Forward Algorithm

Backpropagation

Building Neural Network From Scratch Using Numpy

Implementing Deep Neural Networks

Introduction To Neural Networks With Tf2.X

Simple Deep Learning Model In Keras (Tf2.X)

Building Neural Network Model In Tf 2.0 For Mnist Dataset

Deep Computer Vision - Convolutional Neural Networks

Convolutional Neural Networks (Cnns) Introduction

Cnns With Keras

Transfer Learning In Cnn

Style Transfer, Flowers Dataset With Tf2.X

Examining X-Ray With Cnn Model

 

Recurrent Neural Network

Rnn Introduction

Sequences With Rnns

Long Short-Term Memory Networks (Lstm Rnns) And Gru

Examples Of Rnn Applications

Natural Language Processing

Natural Language Processing Introduction,

NLP With Rnns

Creating Model

Transformers And Bert

State Of Art Nlp And Projects

Reinforcement Learning

Markov Decision Process

Fundamental Equations In R,

Model Based Method

Dynamic Programming Model Free Methods

Deep Reinforcement Learning

Architectures Of Deep Q Learning

Deep Q Learning

Policy Gradient Methods

Generative Adversarial Network (Gan)

Gan Introduction

Core Concepts Of Gan

Building Gan Model With Tensorflow 2.X

Gan Applications

Deploying Deep Learning Models In The Cloud (Aws)

Amazon Web Services (Aws)

Deploying Deep Learning Models Using Aws Sagemaker

 



Curriculum for this course
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Description

Artificial Intelligence has been successful in bringing revolution across industries. It has become ubiquitous and is greatly contributing to change. The idea of incorporating human intelligence into machines has ushered in curiosity for further experimentation. Today AI is recognised as a branch of computer science and is being widely used in areas like Business, Medicine, Education, Customer Service etc. Apart from technology, AI is now identified as a way out, for dealing with complexities.

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