Utilization deep learning is currently often a hot topic, how Netflix and Youtube successfully increased their customer loyalty using this method. Deep Learning is a part of machine learning which functions to train computers about basic human instincts. In technology deep learning, there are several types of algorithms that can be used and you need to know, namely:
Convolutional Neural Networks (CNN)
CNN or what is commonly known as ConvNets, is an algorithm that you can use. Consists of several layers and is often used for image processing and object detection. CNN was first developed in 1988 when it was still called LeNet and was used to recognize characters such as postal codes and numbers.
Recurrent Neural Network (RNN)
Algorithm type deep learning This results in connections that form regular cycles. This cycle then processes the output from LTSM to be used as input for the current phase. This can happen because RNN has internal memory. In general, RNN is used to caption images, analyze time series, process natural language, and recognize handwriting.
Long Short Term Memory Network (LSTM)
Represents a type recurrent neural networks (RNN) which can learn and memorize long-term pattern dependencies. This technology is able to remember all past information from certain periods. LSTM can also store information over time. They are useful for time series prediction purposes because they can remember previous inputs. LSTM has a chain-like structure where the four layers interact with each other in unique ways.
Self Organizing Maps (SOM)
SOM enables data visualization to reduce data dimensionality through self-operating artificial neural networks. The SOM algorithm is designed to help users understand high-dimensional information.
Without deep learning, a Artificial Intelligence will probably not work. The application of deep learning allows AI to develop and "learn" independently from experience. Interested in learning deep learning and other building blocks of AI?
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