Browser-based Models with TensorFlow.js

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Below are the top discussions from Reddit that mention this online Coursera course from DeepLearning.AI.

Bringing a machine learning model into the real world involves a lot more than just modeling.

Convolutional Neural Network Machine Learning Tensorflow Object Detection TensorFlow.js

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Taught by
Laurence Moroney
Instructor
and 10 more instructors

Offered by
DeepLearning.AI

Reddit Posts and Comments

0 posts • 2 mentions • top 2 shown below

r/datascience • comment
1 points • QuandlFgt

If you want to have model training client side, then yes tensorflow.js is probably the best choice. Check out the tutorial at tensorflow.org, and there's also a coursera class, https://www.coursera.org/learn/browser-based-models-tensorflow, maybe watch the first few lectures and see if it is what you are looking for.

That's about as far as I've gotten TBH, it looks good but I haven't really had a reason to use it

r/tensorflow • comment
1 points • evadingaban123

It's better if you can use TensorFlow Python to train the model, and TensorFlow.js only to serve it, since TF.js API is very limited ( https://js.tensorflow.org/api/latest/ ). If you don't need complex tools from the Python API, there are some good videos on the TF.js in Coursera that can be audited for free.

I don't understand what you're trying to predict, but usually regression problems use Mean Squared Error Losses, and classification uses Softmax activation on the last layer + Categorical Cross-entropy. And Adam is a good general optimizer.