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.<p>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.