Introduction to deep learning
Deep learning is most commonly written about in scientific papers nowadays with regards to image classification and speech recognition. This is a subfield of machine learning, based on traditional neural networks and inspired by the structure of the brain. To understand this technology, it is very important to understand what a neural network is and how it works.
What is a neural network and how can we learn from data?
The neural network is inspired by the structure of the brain, in which multiple neurons are interconnected, creating a network. Each neuron has multiple inputs and multiple outputs, like a biological neuron.
This network is distributed in layers, and each layer contains a number of neurons that are connected to all the previous layer's neurons. This always has an input layer, which normally consists of the features that describe the input image or data, and an output layer, which normally consists of the result of our classification. The other middle...
