This is my (Isaac Flath) personal blog. I write about things of interest or use to me or those around me. They are usually deep learning related topics. Enjoy!

If you want regular updates when I write new posts follow me on twitter.

Posts

• Soft Labeling

  How to apply soft labeling to help address noisy labels

  Jan 18, 2021

• Neural Networks and XOR

  Fitting a neural Network to the XOR function

  Jan 9, 2021

• Tabular Modeling

  My process for how I approach Tabular Modling

  Dec 30, 2020

• Pseudo Labeling for Data Cleaning

  Pseudo Labeling basics for Noise Reduction and Data Creation

  Dec 15, 2020

• Secrets in NBdev CI

  A guide for showing how to add secrets and keys to NBdev CI

  Dec 6, 2020

• Partial Dependence Plotting

  A guide for showing the benefits and technique to Partial Dependence Plotting

  Nov 20, 2020

• Media Bias Text Generation Transformer

  A glimpse at a few outputs of the Text Generation Transformer project

  Nov 1, 2020

• Using the Learning Rate Finder (Beginner)

  A guide for showing how to use the learning rate finder to select an ideal learning rate

  Oct 20, 2020

• APL - Geometry of Linear Equations (18.06_L1)

  Linear Algebra - An introduction to Systems of Linear Equations

  Sep 30, 2020

• RNN Foundations

  What is an RNN? How does NLP work?

  Aug 22, 2020

• NLP - Tokenization Basics

  What is Tokenization? What is numericalization?

  Aug 19, 2020

• Mixup Deep Dive

  What is Mixup Data Augmentation really?

  Aug 11, 2020

• Multi-Cat Image Classification

  Creating a multi category image classifier!

  Aug 1, 2020

• Hierarchical Loss Function

  Creating a hierarchical loss function to improve classification accuracy

  Jul 21, 2020

• Terraform Basics Part 1

  Creating EC2 instances in a managed way using terraform

  Jul 15, 2020