• Introduction to TF
• Introduction to Keras
• Examples

• A general purpose numerical computing library.
• Built by Google.
• Initial release in november 2015.
• Last release in october 2019.
• Written in Python and C++.
• Open source software (Apache v2.0 license).

• Image classification.
• Time series forecasting.
• Classifying peptides for cancer immunotherapy.
• Credit card fraud detection using an autoencoder.
• Classifying duplicate questions from Quora.
• Predicting customer churn.
• Learning word embeddings for Amazon reviews.
• Statistics

Data stored in multidimensional arrays

Keras is a friendly API (application programming interface) that allows you to easily access, customize and build neural network models.

https://keras.io/

https://keras.rstudio.com/

https://github.com/rstudio/keras

Below we have some examples to learn about TensorFlow with R.

• Simple linear regression with TensorFlow.

• Multiple linear regression with TensorFlow.

• Poisson regression with TensorFlow.

• Logistic regression with TensorFlow.

• MINST with Keras.

• MINST fashion with Keras.

https://tensorflow.rstudio.com/gallery/

https://blogs.rstudio.com/tensorflow/gallery.html

https://rpubs.com/fhernanb/TF