Deep Learning Training

Welcome to our Deep Learning Training program, where we dive into the cutting-edge field of neural networks and artificial intelligence. Throughout this course, participants will explore the core principles and practical applications of deep learning, from understanding basic concepts to implementing advanced algorithms. With hands-on experience using industry-standard frameworks like TensorFlow and PyTorch, attendees will gain the skills needed to design and train neural networks for various tasks. Whether you're a beginner or an experienced practitioner, join us to unlock the full potential of deep learning and drive innovation in your projects and research endeavors

Welcome to our Deep Learning Training program, where we dive into the cutting-edge field of neural networks and artificial intelligence. Throughout this course, participants will explore the core principles and practical applications of deep learning, from understanding basic concepts to implementing advanced algorithms. With hands-on experience using industry-standard frameworks like TensorFlow and PyTorch, attendees will gain the skills needed to design and train neural networks for various tasks. Whether you're a beginner or an experienced practitioner, join us to unlock the full potential of deep learning and drive innovation in your projects and research endeavors

• Introduction to Deep Learning, Bayesian Learning, and Decision Surfaces.
• Linear Classifiers, Linear Machines with Hinge Loss.
• Optimization Techniques, Gradient Descent & Batch Optimization.
• Neural Network, Multilayer Perceptron & Back Propagation Learning.
• Unsupervised Learning with Deep Networks.
• Convolutional Neural Network, Building blocks of CNN, Transfer Learning.
• Revisiting Gradient Descent, Momentum Optimizer, RMSProp, Adam.
• Recent Trends in Deep Learning Architectures.
• Classical Supervised Tasks with Deep Learning.
• LSTM Networks.
• Generative Modeling with DL.