Deep learning is a
subfield
of machine learning that is inspired by the structure and function of the brain, specifically the neural networks
Deep learning algorithms use multiple
layers
of artificial neural networks to learn and make decisions.
Each layer
processes
the input data and passes it on to the next layer, until the final layer produces the output.
Deep learning algorithms can be used for a variety of
tasks
, including image and speech recognition, natural language processing, etc
One of the key advantages of deep learning is that it can learn to
recognize
patterns in data without being explicitly programmed to do so.
Deep learning algorithms require
large
amounts of labeled training data in order to learn effectively.
Deep learning algorithms are computationally intensive, and require specialized hardware such as
GPUs
to run effectively.
Advantages of tensorflow you should be aware of