People don't always use concepts with the exact same definitions in mind. I sometimes interchange between deep learning and neural networks without thinking about it (even though I probably shouldn't).
Generally speaking, neural networks is a very specific type of algorithm. It's been around since the 80s, with the most interesting changes since then being faster computers and more data.
Usually, when I hear people say deep learning, they mean one of three thing: Sometimes they mean more specific types of deep (= more layers) neural networks, sometimes a more general class of algorithms (out of which NN are probably the most important by far) or sometimes they're using a meaningless buzzword because it's trending...
I know it's uncool, but the Wikipedia article on Deep Learning is actually quite a useful read to get a sense of the jargon and what everything means...
Generally speaking, neural networks is a very specific type of algorithm. It's been around since the 80s, with the most interesting changes since then being faster computers and more data.
Usually, when I hear people say deep learning, they mean one of three thing: Sometimes they mean more specific types of deep (= more layers) neural networks, sometimes a more general class of algorithms (out of which NN are probably the most important by far) or sometimes they're using a meaningless buzzword because it's trending...
I know it's uncool, but the Wikipedia article on Deep Learning is actually quite a useful read to get a sense of the jargon and what everything means...