Intro to Neural Nets

You’ll walk away from this workshop with the basics of neural networks. You’ll be able to get your hands dirty with some of the software tools that are used to build neural networks like sklearn/keras/tensorflow. Additionally, you’ll become comfortable with many commonly heard terms of machine learning at a high level (more concept, less math) such as: hidden layers, edges, nodes backwards propagation (optimization) forward propagation activation function loss function learning rate gradient decent minibatches epochs


  • tags: neural networks, machine learning, introduction, deep learning, TensorFlow, Keras, numpy, Optimizer, Loss Function, Python
When:

Saturday Oct 17th, 8:00pm to 9:15pm (CDT)

Presented By:

Nick Smart

About the Speaker(s):

Nick is a GIS Developer at Chevron and an Aggie 2018 grad.


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