Best ARTIFICIAL INTELLIGENCE training institutes in Ameerpet Hyderabad

 

Best ARTIFICIAL INTELLIGENCE training institutes in Hyderabad

1.Introduction to Deep Learning :
• What is Artificial intelligence
• What is Deep Learning
• Difference between Deep Learning and Machine Learning
• Software Installation

2.Tensorflow Installation:
• Tensorflow installation 2.0
• Tensorflow neural network and its function
• Keras

 

3.Pytorch:
• Pytorch installation
• Pytorch functional overview
• Pytorch neural network creation

 

Neural network :
• A simple Perceptron
• Neural network overview and its use case
• Various neural network architecture overview
• Use case of neural network in NLP and computer vision
• Multilayer Network
• Loss Functions
• The Learning Mechanism
• Optimizers
• Forward and Backward Propagation
• Gradient descent

 

Artificial Neural Network:
• What is a biological neuron look like
• What is a Perceptron
• Activation Function
• Threshold Function
• Hyperbolic tangent(tanh)
• Rectifier
• Sigmoid
• Multilayer Neural Network Architecture
• Cost Function of ANN
• What is Gradient Descent?
• Detail Step by Step Mathematical Derivation
• Epochs, Batch Size
• What is Stochastic Gradient Descent
• Difference between Batch, Stochastic and Mini Batch
• Gradient Descent
• What is Overfitting
• Dropouts
• What is vanishing Gradient Problem

 

Convolution Neural Network
• Why Convolution
• Convolution Operation
• Padding
• Convolution Operation with Multiple Filters
• Poling Layer
• Max pooling
• Avg pooling
• Fully Connected Layer

 

Recurrent Neural Networks
• Long Short-Term Memory(LSTM)
• Bi LSTM
• GRU Implementation
• Building a Story writer using character level RNN

Attention based models:
• Seq2Seq
• Encoders and Decoders
• Attention Mechanism
• Attention Neural Networks
• Self Attention

 

3. Reinforcement Learning
•Basic Reinforcement Learning Using Python
•Return of Multi Armed Bandit
•Markov Decision Processes
•Dynamic Programming
•Monte Carlo
•OpenAI Gym
•TD Lambda
•Policy Gradient
•Deep Q Learning
•A3C
•Theano and Tensorflow Basics
• Temporal Difference Learning
• SARSA

Hardware setup -GPU:
GPU introduction
Various type of GPU configuration
GPU provider and its pricing
Paperspace GPU setup
Running model in GPU
Transfer learning in NLP :
Introduction to Transformers
BERT Model
ELMo Model
GPT1 Model
GPT2 Model
ALBERT Model
DistilBERT Model

 

• Image Processing Using
  • OpenCV
  • Installation of OpenCV
  • What is Computer Vision and What makes it Hard
  • Images in Computer Vision
  • Understanding Color Spaces(Gray Scale,RGB,HSV etc.)
  • Converting one Color Space to Another
  • Scaling,Resizing and Interpolations
  • Understand how resizing affect quality
  • Blurring an Image
  • Gaussian Blur
  • Median Blur
  • Thresholding
  • Smoothing Images
  • 2D Convolution(Image Filtering),Image Averaging
  • Tensorflow Object Detection
  • You Only Look Once (YOLO)
  • Semantic Segmentation

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