IISc Bangalore - IISC - PG Level Advanced Certification Programme in Deep Learning Foundations and Applications 

offered by TalentSprint, Hyderabad

Linear Algebra

Probability and Statistics

Numerical Optimization for ML

Data Visualization

Supervised Learning

Unsupervised Learning

Logistic regression

Neural Networks - CNN, RNN, LSTM

Backpropagation, Deep networks

Regularization, Dropout, Batch Normalization

Introduction

Distributed word representations

Language Modeling, Convolutional neural networks for Text

GRUs, LSTMs for Language Modeling, Attention and Applications, GPT, BERTs and Variants

Recurrent Neural Networks (Unidirectional and Bidirectional), Machine Translation, POS, Sentence Classification, Text Generation

Graph Neural Networks

Audio representations for deep learning

Speech Recognition

End-to-end deep networks

Detection Models

Popular CNN architectures

Transfer learning, autoencoders

Object detection,image segmentation

RNN and LSTM for image captioning/video

Introduction to sequential decision making under uncertainty

Implementing RL algorithms with deep neural networks

Value functions, Finite and infinite Problems

Overview of various ML hardware for IoT/Edge devices

Energy Efficiency, IoT/Edge Devices

Optimization techniques * ML Model for Edge Devices

Deep Generative Models I

Deep Generative Models II

Semi and Self-supervised Learning I

Semi and Self-supervised Learning II