Introduction to Deep Learning

What will you learn?

After the training, you will be able to:

• Build and train your own neural networks with TensorFlow/Keras
• Understand Recurrent Neural Networks: From simple RNNs to modern Transformers.
• Intuitively understand the theory behind Deep Learning: What are neurons, how do neural networks learn, and what other components do I need?
• Apply best practices to ensure your model trains optimally like automatic data augmentations, memory-efficient training and optimized model architectures.
• Build Convolutional Neural Networks and apply them to images
• Understand how you can use Transfer Learning to boost your model performance.

Gesamte Beschreibung lesen