R Deep Learning Essentials - Second Edition

Some common myths about deep learning

There are many misconceptions, half-truths, and downright misleading opinions on deep learning. Here are some common mis-conceptions regarding deep learning:

• Artificial intelligence means deep learning and replaces all other techniques
• Deep learning requires a PhD-level understanding of mathematics
• Deep learning is hard to train, almost an art form
• Deep learning requires lots of data
• Deep learning has poor interpretability
• Deep learning needs GPUs 

The following paragraphs discuss these statements, one by one.

Deep learning is not artificial intelligence and does not replace all other machine learning algorithms. It is only one family of algorithms in machine learning. Despite the hype, deep learning ...