Hi, I'm Simone. I do full-stack web engineering with machine learning.

If you are interested in working with me please get in touch!

  • Deep-Dive: A flowers Classifier in Keras/TensorFlow
    Transfer Learning and Fine Tuning CNNs


    In this notebook, we have a look at classifying flowers with convolutional neural networks in Keras using the TensorFlow backend. See the notebook for more. Saved models created during training can be found here (~2MB).

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  • What is NumPy?
    BiteSize Series


    NumPy is a high performance package for numerical computing in Python. It works well with vector and matrix operations. In this brief post we look at the origins of Python, ndarrays and their benefits, use cases and limitations as well as some useful NumPy functions.

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  • What is Pandas?
    BiteSize Series


    Pandas is a scientific computing Python library created to do data analysis on structured data. It is a core package of SciPy along with Matplotlib, and IPython. We will look at a history of Pandas, the Pandas DataFrame, How I use Pandas and its strengths and limitations.

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  • A Fashionable Introduction to Deep Learning with Keras


    MNIST is often considered the “Hello World!” of deep learning. I have hesitated making a post using it because there is so much content already available on the web using the 1998 digit-based version of MNIST. Fashion MNIST is an upgraded, more complex version released in 2017. It is based on 10 categories of clothing (like dresses and sneakers) instead of 10 digits. I completely adore this data set as well as the story and the technological prowess of the start-up behind it!

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  • Designing a Robot in Sketch


    I have been working on a conceptual, high-fidelity and interactive prototype in Sketch with the Craft plugin from InVision. I am planning to update this blog as the content is no longer effectively presented by the UI design which worked when I first went live a little more than a year ago.

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  • Binary Search Trees


    Trees are fundamental data structures that are important to know for interviews or on any computer science course. They are actually a type of graph without cycles. An example of a tree we use daily is the file structure in a computer. Another example is the DOM or Document Object Model of a webpage. There are different types of trees. The one we will focus on here is the binary search tree.

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