This comprehensive course on 'Artificial Intelligence with Python' covers all the fundamentals 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.

 

Learn some essential concepts related to deep neural networks that also work with Google's powerful library Tensorflow which comes with pre-built Keras. We will be covering all theoretical and practical aspects of this subject, in-depth. Dive deeper into the mathematics behind each concept to understand their specifics. We will conclude with a neural network model for classification using the MNIST data set.

 

Learn its application on business or real-life problems in other domains. Join today this course and get Artificial Intelligence in Python course completion certificate from Great learning