Introduction to Neural Networks in TensorFlow 2.0
This workshop introduces neural networks in TensorFlow 2.0. Topics covered include linear regression, multiclass logistic regression, gradient descent, and neural network. TF 2.0 features such as tf.keras, tf.data, and more are covered. This was co-hosted by the UW Data Science Club and Laurier Developer Student Club.
Link to Notebook: http://bit.ly/intro-to-nn-tf2