I worked through another Python AI video. It was only about 12 minutes. It took me more like 4 hours. I had to download a 1.2 GB dataset. This time it involved music. The data set contained 10 different genres with 100, 30 second songs. I also had to download and install some additional software, librosa which is an audio/music analyzer, Tensorflow an open source machine learning framework and Kersa a Python Deep Learning Library. I had to change up the code a little to save the analysis to files. It took several minutes to process the files. Since I was typing in the examples, I knew there would be typos. I used something called pickle. Pickle can take and object and output it to a file. Once I got the code working it was interesting. The video did not really get in depth about how a neural network works. I did think the librosa output to matplot looked interesting. Here are some examples.
Here is a photo of the worklight I built last week for Angel.
Continued with the next lesson on Synfig
watched Great Courses- Writing Great Fiction.