An artificial neuron is called a Perceptron.
An artificial neuron with sigmoid activation is called sigmoid or logistic neuron.
In a neural network, the neurons can be stacked in parallel or sequential order.
Activation functions are used to put special boundary conditions on the output, to introduce nonlinearity, and to find complex patterns.
There are different types of activation functions:
Hyperbolic Tangent (TanH)
Rectified Linear Unit (ReLU)
For multiclass classification, softmax activation is used.
Gradient Descent is an optimization technique to find minimum of a function.
Keras is a model-level library, providing high-level building blocks for developing deep-learning models
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