This unit introduces the training process for deep learning models, covering data preparation, model selection, optimization techniques, and evaluation strategies. Students will gain a comprehensive understanding of the training process and be able to apply it to their own deep learning projects. 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)
• Training Data
• Evaluating Deep Learning Models