siamese | software project of ImportSource , providing an open source | Architecture library

I was trying to create a matrix in PL/SQL using nested tables as such:

• firstly, I create a table type that is able to store varchars (that in my case is name lista_principala)
• secondly, using the previously declare table type lista_principala I try to create a table type that contains items of type lista_principala. I don't think that I'm wrong about my logic, but my PL/SQL implementation looks something like this:

The errors I get are:

ZipFile requires mode 'r', 'w', 'x', or 'a'

or

ZipFile.__init__() got multiple values for argument 'mode'

or

TypeError: 'ZipFile' object is not callable

My Code:

I am following this tutorial on how to train a siamese bert network:

https://keras.io/examples/nlp/semantic_similarity_with_bert/

all good, but I am not sure what is the best way to save the model after train it and save it. any suggestion?

I was trying with

model.save('models/bert_siamese_v1')

which creates a folder with save_model.bp keras_metadata.bp and two subfolders (variables and assets)

then I try to load it with:

I am trying to build a Siamese neural network on characters-level using Keras, to learn if two names are similars or not.

So my two inputs X1 and X2 are a 3-D matrices:
X[number_of_cases, max_length_of_name, total_number_of_chars_in_DB]

In the real case:

• number_of_cases = 5000
• max_length_of_name = 50
• total_number_of_chars_in_DB = 38

I have one output binary matrix of size y[number_of_cases].

So for example: print(X1[:3, :2])

Will give the following result:

Issue:

i have a successfully running nearest neighbour tensorflow model on colab, named top_classify. but when comes to saving, getting the error message below:

I would like to implement the built in TensorFlow addons version of triplet loss with a tutorial here for a siamese network, however I can't seem to get it quite right. No matter how I wrangle the code another error pops up, currently

I am creating a database with MongoDB and using the Mongoose ODM. I'm using Node.js. I ran the code without the last block several times and it was fine, but when I wrote the last block in order to use the .find() method, it threw me an odd error.

This is the app.js file:

I'm trying to extend this model to include custom metrics. I added false positive count, true positive count, and accuracy. The accuracy step is failing and throwing errors. I've tried a bunch of modifications but was unable to get it working. This is my code:

Is my classification correct?

LeNet-5: Image classification,
AlexNet: Image classification,
VGG-16: Image classification,
ResNet: Image classification,
Inception module: Image classification,
MobileNet: Image classification,
EfficientNet: Image classification,
Neural Style Transfer: Image generation,
Sliding Windows Detection algorithm: Object detection,
R-CNN: Object detection,
YOLO: Object detection,
Siamese network: Image recognition,
U-Net: Semantic segmentation

If wrong, please correct me. THANKS!