A Recipe for Training Neural Networks

This article by Andrej Karpathy discusses the often-overlooked process of effectively training neural networks. It highlights the gap between theoretical understanding and practical application, emphasizing that training is a 'leaky abstraction.' The author argues that the ease of use promoted by libraries and frameworks can create a false sense of simplicity, leading to common errors. The core message is that a structured approach is crucial to avoid these pitfalls and achieve desired results, suggesting a process-oriented methodology rather than a simple enumeration of errors. The article aims to guide readers towards a more robust and efficient training process.

• •Neural network training is often presented as simpler than it is, leading to common errors.
• •Libraries and frameworks can create a false sense of ease, masking the complexities of training.
• •A structured, process-oriented approach is crucial for avoiding pitfalls and achieving good results.