AI, Deep Learning, and Machine Learning: A Primer [video]
One of the main challenges in Deep Learning is that it requires massive amounts of data, orders of magnitude more data than a human toddler to detect a cat. It could be a great area of research on how to reduce the amount of data it takes to train the network.One main thing it lacks is imagination. Humans can learn things and can imagine different combinations of those things. For example, if I ask you to imagine a Guitar playing Dolphin, you could imagine it and even recognize it from a cartoon even though you have never seen it in your life before. Not so for Deep Learning, unless you provide massive amount of images of Dolphins playing guitars.