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

Sunday Oct 18th, 1:00am to 2:15am (GMT)

Presented By:

Nick Smart

About the Speaker(s):

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

    Join the Discussion:

    Join our Discord community and talk with TD organizers and like minded DS/ML enthusiasts!

    Join our Discord!