This unit introduces the fundamentals of data preparation for deep learning, covering techniques for cleaning, preprocessing, and transforming data to enhance model performance. Students will gain hands-on experience applying these techniques to real-world datasets. Üben mit sofortiger Rückmeldung, kostenlos und ohne Anmeldung.

Weitere Themen

• What is Deep Learning?
• Types of Deep Learning Models
• Applications of Deep Learning
• Convolutional Neural Networks (CNNs)
• Recurrent Neural Networks (RNNs)
• Generative Adversarial Networks (GANs)
• Model Training
• Model Evaluation