September 2020
Intermediate to advanced
318 pages
5h 16m
English
The models we trained in the past chapters offered us a glimpse of what we can do with TensorFlow.js. While insightful and useful, you could say that they were also uncomplicated. Those algorithms (linear regression, logistic regression, and k-means) were examples of traditional machine learning models. Typically, you would not use a tool like TF.js to implement them. Instead, most people would use a more specialized library like scikit-learn. Still, replicating them using a network-like structure is an excellent ...
