Viewing profile — jamesonthecrow

Obviously the big cloud players offer their own APIs and SDKs (for a price), but there are a few other solutions worth looking at. Facebook has open sourced some pre-trained models…

Awesome job! If anyone else is working on a project like this or is interested in learning more about applied machine learning we've got a helpful Slack community over at Heartbeat…

This looks really neat and it's definitely fun to play around with. I can't resist playing around with tools like this for a few minutes, but I've never really figured out what the…

Regardless of whether or not this would make anyone money, it's a really nice introduction to forecasting time series using LSTMs. Thanks for the post!

Core ML is going to be your best bet. Most training is still done server side using frameworks like TensorFlow, Keras, and PyTorch. Once you've trained your model, you can convert …

Great point! I haven’t tried it yet, but Sales Force just opensourced Transmogrifai, a platform that does just this: https://engineering.salesforce.com/open-sourcing-transmogrif...…

Thats a good point. I mixed up the iPad Pro 2 with the 6th Gen iPad from 2018. The 2018 iPad just squeaked through my threshold for having enough data to be included here, so it's …

Your point about the integration between software and hardware is spot on. Even the Android devices with powerful GPUs or AI accelerators are really difficult to access because And…

The neural engine is a huge boost, but also remember it's a logarithmic scale so the iPhone X is a faster 5x slower than the 6s.

Good catch. Also taking recommendations for better autocorrecting keyboards :)

Congrats to the Numericcal team on the launch! It's great to see new runtimes coming out to improve performance specifically on Android. It's been a real pain for us to get things …