The years 2018-2020 have been the start of a new era in the field of natural language processing (nlp). This means that today computers can understand humans much better.
We use the new capabilities to predict from a user’s app review in the Google Play Store the star rating that the same user gave to the app.
Here is a new corona dashboard:
https://covid19.arthought.com/
Probably the most interesting story is the large disparity of the national death rate. For instance Germany has a much lower death rate than Italy.
In this post we will use an image compression technique to compress audio signals. We start with a few highlights, screenshots and audio snippets.
This blog post is an addendum to a 3 post miniseries1. Here were present 2 notebooks. 02a—SVD-with-pytorch-optimizer-SGD.ipynb Is a dropin replacement of the stochastic gradient + momentum method shown earlier2, but with using the inbuilt pytorch sgd optimiser. 02b—SVD-with-pytorch-optimizer-adam.ipynb Uses the inbuild pytorch adam optimizer – rather than the sgd …
SVD with pytorch optimizer This blog post is part of a 3 post miniseries. Today’s post in particular covers the topic SVD with pytorch optimizer. The point of the entire miniseries is to reproduce matrix operations such as matrix inverse and svd using pytorch’s automatic differentiation capability. These algorithms are …
pytorch – matrix inverse with pytorch optimizer This blog post is part of a 3 post miniseries. Today’s post in particular covers the topic pytorch – matrix inverse with pytorch optimizer. The point of the entire miniseries is to reproduce matrix operations such as matrix inverse and svd using pytorch’s …
pytorch – playing with tensors This blog post is part of a 3 post miniseries. The point of the entire miniseries is to reproduce matrix operations such as matrix inverse and svd using pytorch’s automatic differentiation capability. These algorithms are already implemented in pytorch itself and other libraries such as …
This is a follow up to https://arthought.com/comparison-of-a-very-simple-regression-in-tensorflow-and-keras/ It covers the same topic but in pytorch.
