jaroslav-hook

after the model is defined, it model.summary() retuns zero parameters for the bidirectional layers this gives zro parameters i summary public static void buildModel2() { //int embed_dim = 256; int...

This gives no parameters in model.summary() public static void buildModel2() { //int embed_dim = 256; int lstm_out = 196; // var max_features = 4000; var model = keras.Sequential(); //model.add(keras.layers.Embedding(max_features, embed_dim,...

none of the proposed works in my case

Tensor.NET is full of bug and inconsistencies… Better not to use it From: Maciej Sobkowiak ***@***.***> Sent: Wednesday, August 14, 2024 6:37 AM To: SciSharp/TensorFlow.NET ***@***.***> Cc: Hook, Jaroslav ***@***.***>;...

I tried to implement LSTM ( both training and inference) in Tensor.NET. LSTM Training was OK with some difficulties ( even though some features were missing), but when I switched...