Dive deeper into AI with advanced concepts like optimizers, loss functions, and powerful visual tools. Learn how deep learning powers modern AI applications.
Learn the foundations of deep learning and its applications.
Learn how to prepare datasets for training deep learning models.
Explore activation functions like ReLU, sigmoid, and tanh.
Visualize optimization techniques like SGD, Adam, and more.
Understand how loss functions work to optimize models.
Understand deep learning concepts through interactive visual demos.
Learn how to manage, train, and evaluate models in deep learning.