YOU’RE LEARNING TO↗explain what epochs and batches are and how to set them appropriately
↗describe overfitting and apply dropout regularisation to reduce it
↗save and load a model's state_dict for checkpointing and deployment
↗explain how to move training to a GPU or Google Colab
↗decide when deep learning is and is not appropriate versus classical ML
↗name key ecosystem libraries (TensorFlow/Keras, Hugging Face, fast.ai) and their roles
The learning room