Deep Learning Hacks

In this chapter, we will cover many practical tips for applying deep learning, such as the best practices for network weight initialization, learning parameter tuning, how to prevent overfitting, and how to prepare your data for better learning when facing data challenges.

Readers will go through various crucial topics during their own development of deep learning models.