Applied AI with Deep Learning

Catalog description

This course provides an understanding of the capabilities and the challenges of deep learning implementations and strategies to build and train efficient neural network architectures. The course topic includes the fundamentals of neural networks (i.e., theoretical concepts and what they are suitable for), building and training neural networks using APIs (i.e., Keras and Tensorflow), and implementing relevant neural network architectures for real-world cases. Credit Badge: Data Science.