Best ARTIFICIAL INTELLIGENCE training institutes in Ameerpet Hyderabad

1. 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?

2. • 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

3. •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 https://www.futuregentechnologies.com/masters-in-machine-learning-and-artificial- intelligence#1611056958028-f584fb6c-b76c