Deep learning explained

- [Instructor] Deep learning is one approach…to doing machine learning,…but one of the most popular ones.…It was inspired by the structure of the brain,…with connecting many neurons…to mimic the composition of the brain.…Depth of learning is achieved…by having each layer of neurons…to focus on specific learning.…For example, a set of neurons were to focus…on handwriting recognition,…therefore, the common-use term of neural networks.…In summary, a neural network is made of an input layer,…a hidden layer, and an output layer.…

Each layer includes multiple nodes, or neurons,…and dictate the input, make inferences from those inputs…in the hidden layers, and then outputs the results.…The synapses are the connections…in between all these neurons, pretty much like the brain.…If we compare the typical way a computer thinks,…we give them input and then an output is generated.…But if you'd like to be able to determine…how many days it will take to lose 40 pounds…based on how many hours you sleep…and how many hours you workout,…