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Deep Learning

Udemy: Introduction to Deep Learning using Keras Convnets Keras notebook

  • Keras is a library in Python.
  • It is a library for building deep learning models. 
  • Keras runs on top of Theano and Tensor flow. 
  • Our focus is on building deep learning predictive models. 
  • Python is becoming the language of choice for applied predictive analytics. 
  • In machine learning a artificial neuron is an object modeled after a biological neuron. 
  • A group of artificial neurons is called a neural network. 
  • Rows are observations. 
  • Columns are features. 
  • That thing we are trying to predict is a target variable. 
  • The data we are going to use to build our model is called training data. 
  • A very simple neural network has inputs, a hidden layer and outputs. 
  • When we are working with machine learning models it's important to remember they speak numbers. 
  • A deep learning model is one with more than one hidden layer.