If you want to:

• Integrate deep learning-powered features into a Unity project.
• Understand the possible applications and use cases that deep learning enables in Unity.
• Understand the real-world considerations and constraints of adding deep learning-powered features to your Unity project.
• Understand and leverage the existing tools that can increase efficiency or reduce time-to-shipping features.

Then I can help! If you’ve got a project or job position that could benefit from my skills, I’d love to hear from you. Please email me at [email protected] or use the form here.

Posts

• Notes on fastai Book Ch. 10

  Chapter 10 covers text preprocessing and training an RNN for text classification.

  Mar 29, 2022

• Notes on fastai Book Ch. 9

  Chapter 9 provides a deep dive into tabular modeling.

  Mar 29, 2022

• Notes on fastai Book Ch. 8

  Chapter 8 provides a deep dive into collaborative filtering.

  Mar 28, 2022

• Notes on fastai Book Ch. 3

  Chapter 3 defines data ethics, introduces essential topics in data ethics, and explains how to identify and address ethical issues.

  Mar 14, 2022

• Notes on fastai Book Ch. 5

  Chapter 5 covers creating a custom DataBlock for an image classifier, pre-sizing, cross-entropy loss, model interpretation, picking learning rates, transfer learning, and discriminative learning rates.

  Mar 14, 2022

• Notes on fastai Book Ch. 1

  Chapter 1 covers the history of artificial neural networks, approaches for learning ML/DL, and using the fast.ai library for multiple deep learning tasks.

  Mar 14, 2022

• Notes on fastai Book Ch. 2

  Chapter 2 covers how to train an image classification model using a custom dataset and turn it into an online application.

  Mar 14, 2022

• Notes on fastai Book Ch. 7

  Chapter 7 covers data normalization, progressive resizing, test-time augmentation, mixup, and label smoothing.

  Mar 14, 2022

• Notes on fastai Book Ch. 4

  Chapter 4 covers broadcasting, stochastic gradient descent, the MNIST loss function, and the sigmoid activation functions.

  Mar 14, 2022

• Notes on fastai Book Ch. 6

  Chapter 6 covers multi-label classification and image regression.

  Mar 14, 2022

• Barracuda PoseNet WebGL Tutorial

  This post covers how to modify the Barracuda PoseNet project to run in the browser using WebGL.

  Mar 10, 2022

• Notes on OpenCV Fundamentals

  My notes from Jason Dsouza's introductory video on OpenCV for Python.

  Jan 16, 2022

• Notes on Foundational Blockchain Concepts

  My notes from Lesson 0 of Patrick Collins' Solidity, Blockchain, and Smart Contract Course.

  Jan 3, 2022

• Notes on the Streamlit API

  My notes and reference examples for working with the Streamlit API.

  Jan 2, 2022

• Notes on Creating Data Science Apps With Streamlit

  My notes from Chanin Nantasenamat's video on creating data science web apps with Streamlit.

  Jan 2, 2022