Introduction Neural Networks

Use the tabs to access content. Theory part is general, R & Python application part language specific.

This session introduces to artificial neural networks (ANN) and Deep Learning (DL)

Suggested Datacamp courses

  • Introduction to TensorFlow in R
  • Introduction to Deep Learning in Python

Video 1: Introduction and history of ANNs

Video 2: Building blocks and architecture of ANNs

Video 3: Learning in ANNs

Slides

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Fullscreen slides available here
Fullscreen slides available here

Follow along

Video 1: Images and Penguins

Video 2: Details and Tabular Data Example

Follow along

Video 1: Penguin Multiclass prediction