Artificial Intelligence (AI)
Classification
AI
Machine learning
Neural network
Deep learning
Machine learning
ML algorithms leverage structured labeled data to make predictions.
Usually dataset is supervised by human at input.
Main difference with Deep Learning:
number of layers in neural network
whether or not human intervention is required to label data
Neural network
composed of node layers
use a linear regression model - math model used to predict future events
data is passed between nodes feed forward
rely on training data
NN have multiple types
convolutional (good for image recognition)
long short-term memory network (good for speach recognition)
Deep learning
Neural network(NN) is considered a deep NN if it consists of more than three layers (including inout and out layer).
DL doesn't necessarily require a labeled dataset. It can ingest unstructured data in its raw form like text and images.
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