A web service that tries to determine the appropriate emoji for a given image
-
Updated
Jul 14, 2017 - Python
A web service that tries to determine the appropriate emoji for a given image
Playing around with running Tensorflow on GCP ML Engine
Deep learning project to practice Neural networks
Classifies images using TensorFlow and Google's Machine Learning Engine
deep-learning-datasets
Framework for large scale data processing, model training, and prediction delivery on the Google Cloud Platform.
Example of transfer learning with tensorflow-hub and Google ML Engine
Titus 2 : Portable Format for Analytics (PFA) implementation for Python 3.4+
Contains jupyter notebooks, presentations and examples for Keras, Google AI Platform and Kubeflow.
Say the magic word 😸
This project demonstrates the use of TensorFlow Object Detection API (along with GCP ML Engine) to automatically detect Red Blood Cells (RBCs), White Blood Cells (WBCs), and Platelets in each image taken via microscopic image readings
A custom model trained using Tensorflow's object detection API to detect company logos in images/videos.
Jupyter Notebook Magics for Google Cloud ML Engine
tf.Transform example for building digital twin with Apache Beam and Tensorflow
Repository to quickly get you started with new Machine Learning projects on Google Cloud Platform. More info(slides):
Add a description, image, and links to the ml-engine topic page so that developers can more easily learn about it.
To associate your repository with the ml-engine topic, visit your repo's landing page and select "manage topics."