Workshops

Deep Learning Algorithms Implementation In Cloud Technology

Introduction to Artificial Intelligence, Machine Learning, Deep Learning and Representation Learning • Machine Learning Mathematics – Linear Algebra, Optimization • Machine Learning Basics – Linear Regression, Perceptron’s, Multilayer Perceptron’s, Stochastic Gradient Descent, Backpropagation • Deep Learning Regularization Techniques: L1, L2, Noise Injection, Data Augmentation, Dropout, Ensemble, Parameter Sharing, etc. • Basics of TensorFlow/ Keras/ PyTorch • CNN Architecture • Object detection RCN and FRCNN • Image Segmentation UNet Model • Computer Vision Applications: Image Classification, Object Recognition and detection using TensorFlow • RNN Architecture and LSTM, Google Colab • Natural Language Processing(NLP) Applications : Machine Translation using TensorFlow/ PyTorch • Current Research – Latest Architectures, Applications

An online Guest lecture on DevOps using Cloud

In This Guest Lecture the Following Topics are Covered: 1. DevOps Model 2. DevOps Working Mechanism 3. Benefits of DevOps 4. Why DevOps Matters 5. How to Adopt a DevOps Model 6. DevOps Real-Time Practices.

Workshop on Internet of Things

Workshop on Internet of Things

FDP on IoT with Raspberry Pi

FDP on IoT with Raspberry Pi

Workshop on Python Programming

Workshop on Python Programming

Industrial Visit to T-HUB

Industrial Visit to T-HUB