Intro to TensorFlow

Here are some code examples that will help you learn the basics of TensorFlow. The main bits that you need to learn is how to create a model in TF, compile it (by specifying the loss function), train, and predict on data:

• Multilayer perceptron example

• Image classification example

• Another image classification example, but a differenet network architecture (Network-in-network)

• Autoencoder network example

Credits:

Top image: This image was created with the assistance of DALL·E 3.