Deep Learning

Step into the transformative world of Deep Learning – the most powerful and rapidly evolving field in Artificial Intelligence. This course dives beyond traditional machine learning, exploring the multi-layered neural networks that enable machines to see, hear, speak, and make decisions with remarkable accuracy, rivaling human capabilities.

Explore the fundamental principles and architectures of Deep Learning models, such as feedforward networks and backpropagation, used for training neural networks.

Learn about two widely used Deep Learning frameworks - TensorFlow and PyTorch and their features for building and deploying neural network models.

Engage in a practical exercise where you will build a simple neural network using TensorFlow. Implement and train a neural network model to solve a specific problem, gaining hands-on experience in Deep Learning implementation.

Develop hands-on deep learning skills by building a Convolutional Neural Network (CNN) model to detect and classify objects in complex urban traffic environments - a core capability for autonomous vehicles (AVs).

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