• Develop expertise in implementing and fine-tuning neural networks for tasks such as image classification and natural language processing.
• Master advanced architectures like convolutional neural networks (CNNs) and recurrent neural networks (RNNs) for specialized applications.
• Acquire skills in preprocessing and augmenting data to optimize model performance, learn to interpret and visualize model outputs, and understand ethical considerations in deploying deep learning models.