To load a web based graph or layers model saved for tensorflowjs
Trying to load this model that I converted from an Edge Impulse Tensorflow Saved model to load for TensorflowJS
https://hpssjellis.github.io/my-examples-of-edge-impulse/public/edge-models/single-heart-rock/forweb/model.json
LOAD any TFJS Layers URL
Shows summary on this site but also in the console
Open console using, ctrl shift i
right-click view source to see this one page Vanilla Javascript code
try for a TensorflowJS layers model try:
https://www.rocksetta.com/tensorflowjs/saved-models/batches-20000-done.json
https://storage.googleapis.com/tfjs-models/tfjs/mobilenet_v1_0.25_224/model.json
https://hpssjellis.github.io/beginner-tensorflowjs-examples-in-javascript/saved-models/mnist/convnet/my-mnist01.json
https://storage.googleapis.com/tfjs-models/tfjs/squeezenet_v1.1/model.json
...
LOAD Vision Graph Model From TF Hub
Shows the results after loading zeros data since Graph models can't show a summary
For a TensorflowJS graph model from TF-Hub try
https://tfhub.dev/google/imagenet/mobilenet_v2_140_224/classification/2
Presently tested with const zeros = tf.zeros([1, , , ]);
check console
LOAD Vision Graph Model From anywhere
Shows the results after loading zeros data since Graph models can't show a summary
For a TensorflowJS graph model try
https://storage.googleapis.com/tfjs-models/savedmodel/mobilenet_v2_1.0_224/model.json
Presently tested with const zeros = tf.zeros([1, , , ]);