|DEEP LEARNING SYSTEMS
|A neural network is a model of neurons inspired by the human brain. It is made up of many neurons that at inter-connected with each other.
|Deep learning neural networks are distinguished from neural networks on the basis of their depth or number of hidden layers.
Feed Forward Neural Networks
Recurrent Neural Networks
Symmetrically Connected Neural Networks
Recursive Neural Networks
Unsupervised Pre-trained Networks
Convolutional Neural Networks
Connection and weights
|Time & Accuracy
It generally takes less time to train them.
They have a lower accuracy than Deep Learning Systems
It generally takes more time to train them.
They have a higher accuracy than Deep Learning Systems