Categories
Oracle

Machine Learning: Classification using Python and Oracle ATP

Continuing the last article when we created a Jupyter Notebook and used python to connect to an Oracle Autonomous Transaction Processing Database instance, now it’s time to run a classification using the machine learning library called Scikit-Learn. This is a simple demonstration using the Iris dataset and in the near future I intend to show a more real use case. You can download the notebook here: https://github.com/waslleysouza/oracle_autonomous_jupyter/blob/master/atp_classification.ipynb. […]
Categories
Oracle

Connect to Oracle ATP through Jupyter Notebook

Do you know Jupyter Notebook? The Jupyter Notebook is an open-source web application that allows you to create and share documents that contain live codes, equations, visualizations and narrative text. You can use it for data cleaning and transformation, numerical simulation, statistical modeling, data visualization, machine learning, and much more. I like to use the Jupyter Notebook for my machine learning projects because it is a very useful tool. In one of my projects I needed to […]
Categories
Deep Learning Oracle

Face Recognition API with OCI – Part 1

You may have noticed that I’m studying Machine Learning (including Deep Learning). In my study I like to implement codes from other developers or create some codes from scratch. If you also study about facial recognition you may have heard about Facenet. Facenet is a Tensorflow implementation for face recognition that you can integrate into your projects, and I used it to create my Face Recognition API. In this first article, you will learn how to use my facial recognition API with […]
Categories
Deep Learning Oracle

Exposing Keras as REST API

In my last blog post about Keras, you learned how to use the Kaggle dogs-vs-cats dataset. But would you like your friends to use your model to identify dogs and cats in pictures? Yes, this blog post is about it! You’ll learn how to expose your model as a REST API in a simple way. Lets go! We’ll use the code created in “Using Kaggle datasets” by adding a modification to save the model. Then, download all the files and run the jupyter notebook to train and save your model. […]
Categories
Deep Learning Oracle

Installing Anaconda in OCI GPU instance

Now that you know how to create an Oracle Cloud Infrastructure GPU instance, the next steps are install Anaconda and use Jupyter Notebook to develop or test your AI projects. First of all, go to your Oracle Cloud Account and add the following Ingress Rule in your Security List (Networking > Virtual Cloud Networks > Virtual Cloud Network Details > Security Lists > Security List Details). Using a Terminal, access your Ubuntu instance and download the latest version of Ananconda. […]