Neural Networks: Neural Networks are networks of neural cells (neurons or cells or nerves) in the brain. The human brain is connected by billions of neurons and trillions. These neurons are constantly processing and sending information to other neurons. In 1909, he discovered “Santiago Ramon y Cajal”. The brain is made up of a large number of interconnected neurons that send very simple excitatory and inhibitory messages to each other. And their excitement is updated with these simple messages.
A nerve neuron has three main parts: the cell body, the axon that sends messages, and the dendrites that receive messages. The cell body forms the cell structure. An axon is a branched string that carries neuronal messages out. The dendrites have more branches and receive signals from other nerve cells.
Artificial Neural Networks, or ANNs for short, are important tools in the field of computational intelligence. Different types of artificial neural networks have been introduced. They are mainly used in applications such as classification, clustering, pattern recognition, modeling and approximation of functions, control, estimation, and optimization.
What you will learn in the virtual training course of Master of Neural Networks in MATLAB:
Who is suitable for the Master of Neural Networks training course in MATLAB?
Prerequisites for this course: