This unit introduces the different types of deep learning models, including CNNs, RNNs, and GANs. Students will learn about the strengths and weaknesses of each model and how to choose the right model for a given task. Üben mit sofortiger Rückmeldung, kostenlos und ohne Anmeldung.

Weitere Themen

• What is Deep Learning?
• Applications of Deep Learning
• Convolutional Neural Networks (CNNs)
• Recurrent Neural Networks (RNNs)
• Generative Adversarial Networks (GANs)
• Training Data
• Training Process
• Evaluating Deep Learning Models