TensorFlow Codelab

This workshop is a non-guided repeat of the workshop that was done on Monday. During this hour-long session, Martin will answer any questions from anyone working through the codelab asynchronously. These two codelabs offer the opportunity to explore and then get your questions answers on one of the most important frameworks in artificial intelligence and machine learning today, TensorFlow. TensorFlow™ is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them.

There are two codelabs in this session TensorFlow and deep learning without a PhD and the TensorFlow Recurrent Neural Network. Each of these codelabs focus on understanding what is happening behind the maths of a neural network.

NOTE: As mentioned, this is the non-guided version of the codelab. This codelab is designed for more experienced participants who want to get specific questions answered, unblocked, or help with their own usecases based on these codelabs.

Presentations about TensorFlow Codelab

Parallel processing and machine learning @Google Martin Gorner

Tensorflow without a PhD Codelab Speaker Office Hours

Parallel processing and machine learning @Google Martin Gorner

Tensorflow Recurrent Neural Network Codelab Office Hours