ARTIFICIAL INTELLIGENCE Training provided by DataMites Institute Training Institute in Bangalore,Bommanahalli
ARTIFICIAL INTELLIGENCE free videos and free material uploaded by DataMites Institute Training Institute staff .
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
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