Introduction of Deep Learning

What is deep learning?

Deep learning is a subset of machine learning. In deep learning, we feed data to to deep learning model. After feeding you the model will train itself with those data. After training, if we give input to the model or pass some new data then according to the previous data it will give a prediction or output.

There are three types of neural network:
1. Architecture of neural network:
2. Convolution neural network:
3. Recurrent Neural Networks:

You can compare deep learning or neural networks with human brain. In human body we have neurons and in neural networks we also have neurons. In neural networks, at first we have input layer then the hidden layers and then the output layers. Here each layer contains neurons and each layer is connected with other layers.

Machine learning works well on the small dataset but for big data deep learning works well.