Deep Learning with PyTorch (Advanced)
This quest is designed for those who have a foundational understanding of deep learning and are ready to dive deeper into the complexities of neural networks using PyTorch. You will explore advanced topics such as convolutional neural networks (CNNs), recurrent neural networks (RNNs), and generative adversarial networks (GANs). Through practical projects and hands-on coding exercises, you will learn how to optimize model performance, implement transfer learning, and troubleshoot common issues in deep learning. By the end of this quest, you will be equipped with the skills to tackle real-world AI challenges and contribute to advanced AI projects.
• Understand and implement advanced neural network architectures using PyTorch.
• Optimize deep learning models for performance and efficiency.
• Apply transfer learning techniques to improve model training.
• Troubleshoot and debug common issues faced in deep learning projects.
