TensorFlow

Blog Posts tagged TensorFlow#

Deep attractors: Where deep learning meets chaos

Resources tagged TensorFlow#

Heather & Jacqueline Nolis | Push straight to prod: API development with R and Tensorflow | RStudio

Talk from rstudio::conf(2019) When tasked with creating the first customer-facing machine learning model at T-Mobile, we were faced with a conundrum. We had been told time and time again to deploy machine learning models in production you had to use Python, but our very best data scientists were fluent in building neural networks in R with Keras and TensorFlow. Determined to avoid double work, we decided to use R in production for our machine learning models. After months of work, wrangling our containers to meet cloud security compliance, and conforming to DevOps standards, we succeeded in creating a containerized API solution using the keras and plumber R packages and Docker. Today R is actively powering tools that our customers directly interact with and we have open sourced our methods. In this talk, we'll walk through how to deploy R models as container-based APIs, the struggles and triumphs we've had using R in production, and how you can design your teams to optimize for this sort of innovation. About Heather Nolis: Heather Nolis is a founding member of the AI @ T-Mobile team, focusing the conversion of cutting-edge analyses to real-time, scalable data-driven products. She began her career in neuroscience but once realized how heavily that field relied on software built by other people, she pivoted - deciding to make software herself. You can find her @heatherklus on Twitter, where she speaks about diversity in technology, the ethical implications of data, and cats. About Jacqueline Nolis: Dr. Jacqueline Nolis is a co-founder of Nolis, LLC, a data science consulting firm. She has over a decade of experience using data to help companies including DSW, Union Bank, Microsoft, and Airbnb. She has a PhD from Arizona State University where her research focused on electric vehicle route optimization. For fun she likes to use machine learning for humor

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TensorFlow

Blog Posts tagged TensorFlow#

Introducing Keras 3 for R

LLaMA in R with Keras and TensorFlow

TensorFlow and Keras 2.9

Deep Learning with R, 2nd Edition

Pre-processing layers in keras: What they are and how to use them

Revisiting Keras for R

An introduction to weather forecasting with deep learning

Training ImageNet with R

FNN-VAE for noisy time series forecasting

Time series prediction with FNN-LSTM

Deep attractors: Where deep learning meets chaos

Easy PixelCNN with tfprobability

Hacking deep learning: model inversion attack by example

Towards privacy: Encrypted deep learning with Syft and Keras

A first look at federated learning with TensorFlow

NumPy-style broadcasting for R TensorFlow users

First experiments with TensorFlow mixed-precision training

Differential Privacy with TensorFlow

tfhub: R interface to TensorFlow Hub

Gaussian Process Regression with tfprobability

Getting started with Keras from R - the 2020 edition

Variational convnets with tfprobability

tfprobability 0.8 on CRAN: Now how can you use it?

TensorFlow 2.0 is here - what changes for R users?

BERT from R

So, how come we can use TensorFlow from R?

Image segmentation with U-Net

Modeling censored data with tfprobability

TensorFlow feature columns: Transforming your data recipes-style

Adding uncertainty estimates to Keras models with tfprobability

Hierarchical partial pooling, continued: Varying slopes models with TensorFlow Probability

Tadpoles on TensorFlow: Hierarchical partial pooling with tfprobability

Experimenting with autoregressive flows in TensorFlow Probability

Auto-Keras: Tuning-free deep learning from R

Getting into the flow: Bijectors in TensorFlow Probability

Audio classification with Keras: Looking closer at the non-deep learning parts

Discrete Representation Learning with VQ-VAE and TensorFlow Probability

Getting started with TensorFlow Probability from R

Concepts in object detection

Entity embeddings for fun and profit

You sure? A Bayesian approach to obtaining uncertainty estimates from neural networks

Naming and locating objects in images

Representation learning with MMD-VAE

Winner takes all: A look at activations and cost functions

More flexible models with TensorFlow eager execution and Keras

Collaborative filtering with embeddings

Image-to-image translation with pix2pix

Attention-based Image Captioning with Keras

Neural style transfer with eager execution and Keras

Getting started with deep learning in R

Generating images with Keras and TensorFlow eager execution

Attention-based Neural Machine Translation with Keras

Classifying physical activity from smartphone data

Predicting Sunspot Frequency with Keras

Simple Audio Classification with Keras

lime v0.4: The Kitten Picture Edition

Deep Learning for Cancer Immunotherapy

Predicting Fraud with Autoencoders and Keras

Analyzing rtweet Data with kerasformula

Deep Learning With Keras To Predict Customer Churn

Classifying Duplicate Questions from Quora with Keras

Word Embeddings with Keras

Time Series Forecasting with Recurrent Neural Networks

Image Classification on Small Datasets with Keras

Deep Learning for Text Classification with Keras

Keras for R

Resources tagged TensorFlow#

Heather & Jacqueline Nolis | Push straight to prod: API development with R and Tensorflow | RStudio

Machine Learning with R and TensorFlow