# What is meant by feed forward neural network?

**feedforward neural network**is an artificial

**neural network**wherein connections between the nodes do not form a cycle. As such, it is different from its descendant: recurrent

**neural networks**. The

**feedforward neural network**was the first and simplest type of artificial

**neural network**devised.

Also to know is, what is feed forward backpropagation neural network?

**Backpropagation** is algorithm to train (adjust weight) of **neural network**. **Feed**-**forward** is algorithm to calculate output vector from input vector. Input for **feed**-**forward** is input_vector, output is output_vector. When you are training **neural network**, you need to use both algorithms.

Likewise, what is meant by neural networks? A **neural network** is a series of algorithms that endeavors to recognize underlying relationships in a set of data through a process that mimics the way the human brain operates. **Neural networks** can adapt to changing input; so the **network** generates the best possible result without needing to redesign the output criteria.

Consequently, what is single layer feedforward neural network?

A **feedforward neural network** is an artificial **neural network** wherein connections between the units do not form a cycle. The simplest kind of **neural network** is a **single**-**layer** perceptron **network**, which consists of a **single layer** of output nodes; the inputs are fed directly to the outputs via a series of weights.

Is CNN feed forward?

So a **CNN** is a **feed**-**forward** network, but is trained through back-propagation. Backward propagation is a method to train neural networks by "back propagating" the error from the output layer to the input layer (including hidden layers).