Building Your First Neural Network Using Keras

Building Your First Neural Network Using Keras

5 years ago
Anonymous $syBn1NGQOq

https://towardsdatascience.com/building-your-first-neural-network-using-keras-29ad67075191

Luke PoseyBlockedUnblockFollowFollowingApr 9Photo Credit: UnsplashWhat is an Artificial Neural Network?(Artificial) Neural Networks, so called because of their vague similarity to neural networks in the brain, are connections of artificial neurons. These networks function via connections between neurons called synapses which send information from one neuron to another. A neuron can receive information from an input neuron and then signal that information to all neurons the receiving neuron is connected to. This will make more sense as we build our own network and see it function in practice.

To make it through the meat of this article the user should minimally understand some basic math and statistics. Further, if the reader wants to run the models on their own (not a requirement, can follow along either way) we assume the user has properly installed all the needed libraries and is an intermediate Python user. To run all of our examples the user will require Pandas, Numpy, Matplotlib, Scikit-Learn, TensorFlow, and Keras.

Building Your First Neural Network Using Keras

Apr 10, 2019, 2:14am UTC
https://towardsdatascience.com/building-your-first-neural-network-using-keras-29ad67075191 > Luke PoseyBlockedUnblockFollowFollowingApr 9Photo Credit: UnsplashWhat is an Artificial Neural Network?(Artificial) Neural Networks, so called because of their vague similarity to neural networks in the brain, are connections of artificial neurons. These networks function via connections between neurons called synapses which send information from one neuron to another. A neuron can receive information from an input neuron and then signal that information to all neurons the receiving neuron is connected to. This will make more sense as we build our own network and see it function in practice. > To make it through the meat of this article the user should minimally understand some basic math and statistics. Further, if the reader wants to run the models on their own (not a requirement, can follow along either way) we assume the user has properly installed all the needed libraries and is an intermediate Python user. To run all of our examples the user will require Pandas, Numpy, Matplotlib, Scikit-Learn, TensorFlow, and Keras.