Feature engineering in BigQuery and TensorFlow 2.0/Keras - Kirkland ML Summit ‘19

Feature engineering in BigQuery and TensorFlow 2.0/Keras - Kirkland ML Summit ‘19

BigQuery - End-to-End Machine Learning with TensorFlow on GCP from Google Cloud #6Подробнее

BigQuery - End-to-End Machine Learning with TensorFlow on GCP from Google Cloud #6

Ease ML deployments with TensorFlow Serving - Kirkland ML Summit ‘19Подробнее

Ease ML deployments with TensorFlow Serving - Kirkland ML Summit ‘19

TensorFlow 2.0: Transitioning to production - Kirkland ML Summit ‘19Подробнее

TensorFlow 2.0: Transitioning to production - Kirkland ML Summit ‘19

Machine Learning with BigQuery ML | 13. Running TensorFlow Models with BigQuery MLПодробнее

Machine Learning with BigQuery ML | 13. Running TensorFlow Models with BigQuery ML

Intro to Feature Engineering with TensorFlow - Machine Learning Recipes #9Подробнее

Intro to Feature Engineering with TensorFlow - Machine Learning Recipes #9

BigQuery ML using a Tensorflow pre-trained modelПодробнее

BigQuery ML using a Tensorflow pre-trained model

Find out what’s new in TensorFlow 2.0 at #TFDevSummit '19Подробнее

Find out what’s new in TensorFlow 2.0 at #TFDevSummit '19

Importing Tensorflow Models to BigqueryПодробнее

Importing Tensorflow Models to Bigquery

Convolutional neural networks with Swift - Kirkland ML Summit ‘19Подробнее

Convolutional neural networks with Swift - Kirkland ML Summit ‘19

Tensorflow Improving Model Performance - Feature Engineering - DIY#11Подробнее

Tensorflow Improving Model Performance - Feature Engineering - DIY#11

XLDB-2019: Design of BigQuery MLПодробнее

XLDB-2019: Design of BigQuery ML

Apple Gatekeeper bypass using Network SharesПодробнее

Apple Gatekeeper bypass using Network Shares