This unit introduces the different types of deep learning models, including convolutional neural networks (CNNs), recurrent neural networks (RNNs), and generative adversarial networks (GANs). Students will learn about the strengths and weaknesses of each type of model and how to apply them to real-world data science problems. 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)
• Data Preparation
• Model Training
• Model Evaluation