Tensorflow.js allows developing machine learning models with JavaScript. It provides APIs for building neural networks with layers, training models on data, and making predictions. Key capabilities include building, training, and deploying deep learning models directly in the browser or on the server using JavaScript. It supports common ML tasks like image classification, object detection, and natural language processing.
29. Learning flow
1. Get Labeled data
2. Get results for labeled data (Forward
propagation)
3. Compare with expected results (Fe - Fa)
4. If error is big, update weights (Back propagation),
repeat 2-4
5. If error is low (E < 0.001), try on unlabeled data
not cat
cat
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