Challenges That Arise as Deep Learning Models Get Deeper
Problems with deeper neural networks and solutions to address them
Problems with deeper neural networks and solutions to address them
Learn about the concept and mechanism of the Adam optimizer, which accelerates learning speed and stabilizes convergence in neural networks
Explore how AI came to appear intelligent, from artificial neural networks and deep learning rooted in the human brain to probability-based language models, in a way that's approachable yet substantive.
Key components of neural networks, including Layers and Neurons
The concept of Perceptron, its components, and activation functions