At ohmeow, we're both passionate building full-stack web and ML applications, as well as in helping others learn how to ethically harness the powers of both! If you're looking to apply deep learning/AI in your organization, let's talk!

Posts

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  How to build an image classification model with the high-level API

  Insights from "Deep Learning for Coders with fastai & PyTorch" and from around the world

  Jan 21, 2022

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  How to do inference

  Insights from "Deep Learning for Coders with fastai & PyTorch" and from around the world

  Jan 20, 2022

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  How to use the DataBlock API

  Insights from "Deep Learning for Coders with fastai & PyTorch" and from around the world

  Nov 14, 2021

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  How to avoid disaster

  Insights from "Deep Learning for Coders with fastai & PyTorch" and from around the world

  Nov 12, 2021

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  How to manage an ML project using the Drivetrain approach

  Insights from "Deep Learning for Coders with fastai & PyTorch" and from around the world

  Nov 11, 2021

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  How to visualize what a NN is learning

  Insights from "Deep Learning for Coders with fastai & PyTorch" and from around the world

  Nov 10, 2021

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  What are ResNets & Why use it for computer vision tasks

  Insights from "Deep Learning for Coders with fastai & PyTorch" and from around the world

  Nov 9, 2021

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  What are the differences between training, validation, and test datasets

  Insights from "Deep Learning for Coders with fastai & PyTorch" and from around the world

  Nov 5, 2021

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  What is the difference between categorial and continuous datatypes

  Insights from "Deep Learning for Coders with fastai & PyTorch" and from around the world

  Nov 4, 2021

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  What is a metric

  Insights from "Deep Learning for Coders with fastai & PyTorch" and from around the world

  Nov 3, 2021

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  What is machine learning

  Insights from "Deep Learning for Coders with fastai & PyTorch" and from around the world

  Nov 2, 2021

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  How to learn (deep learning)

  Insights from "Deep Learning for Coders with fastai & PyTorch" and from around the world

  Nov 1, 2021

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  A Journey Through Fastbook (AJTFB) - Chapter 6: Multilabel Classification

  Its the more things you can do with computer vision chapter of "Deep Learning for Coders with fastai & PyTorch"! We'll go over everything you need to know to get started with multi-label classification tasks from datablocks to training and everything in between. Next post we'll look at regression tasks, in particular key point regression models that are also covered in chapter 6. Soooo lets go!

  Jun 10, 2021

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  A Journey Through Fastbook (AJTFB) - Chapter 5

  Its the image classification chapter of "Deep Learning for Coders with fastai & PyTorch"! We'll go over everything you need to know to get started with multiclass classification, from setting up your DataBlock and loss function, to some of the core techniques for evaluating and improving your model's predictions. So without further adieu, lets go ...

  Jun 3, 2021

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  Contributing to fastai: Setup your local development environment & submit a PR

  A few hours ago I was working on a PR for fastai, and as it has been awhile I realized I couldn't quite remember all the steps required to do so. Fortunately, I got it figured out pretty quickly and decided I better blog the steps for when I forget next (I am almost 50 after all). So for all you developers looking to contribute to fastai, or really any open source project, here's everything you need to know to setup your local development environment and submit PRs to fastai. Enjoy!

  Jun 2, 2021