What is a Neural network?

  • October 28, 2020 12:01 PM AEDT
  • Team Kalkine
    Team Kalkine
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A neural network is a unit of deep learning, which itself is a sub-field of machine learning. A neural network refers to a series of algorithms that mimic the way a human brain operates to understand relationships between massive amounts of datasets.

What are the major types of neural networks?

Fully Connected Layer:

A fully connected layer connects each neuron in one layer to each neuron in the next layer.

Convolution Layer:

A Convolution Layer is an essential type of layer in a CNN and is used for detecting features in images.

Deconvolution Layer:

A Deconvolution Layer is a transposed convolution method that unsampled data to high resolution in an effective way.

Recurrent Layer:

A recurrent Layer has looping capacity. Its input comprises data for analysis plus output from the earlier calculation done by that layer.


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