Unraveling the Training Challenges of Deep Neural Networks

This Hacker News article likely discusses the common challenges hindering the effective training of deep neural networks. A critique would center on the article's depth, accuracy, and accessibility for a broad audience given the complex topic.

• •Deep neural networks are computationally intensive to train.
• •Issues include vanishing/exploding gradients and saddle points.
• •Data quality and quantity are critical for successful training.