AI Machine Learning with Python Over View
This comprehensive course on ‘Artificial Intelligence’ covers all the basics of neural network-based models. Get a conceptual understanding of learning mechanisms such as the Need and history of neural networks, gradient, forward propagation, loss functions, and its implementation using python libraries. Dive deeper into the mathematics behind each concept to understand its specifics. We will conclude with a neural network model for classification using MNIST data set.