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I am trying to use tensorflow serving to serve a keras bert model, but I have problem to predict with rest api, below are informations. Can you please help me to resolve this problem.
# predict out…
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Hi,
In the documentation it is stated that partial training can be used to reduce memory consumption.
I tried to train a Softmax classifier with several datasets and partial methods.
But only t…
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in tf_lstm.py at line 66, 67, code are written as follow
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softmax_w = tf.get_variable("softmax_w", [size, vocab_size])
softmax_b = tf.get_va…
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In this SURF+FV algorithem, you choose Softmax Classifier instead of SVM. Can you tell me the reason. In your matlab code, you use 'Softmax' function, but I can only find 'softmax' function in matlab.…
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Task Q3 from cs231n course (https://cs231n.github.io/assignments2024/assignment1/)
Task formulation and "skeleton" of the solution are located here:
https://github.com/bulygin1985/ML_CV_study/blob/m…
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Hello,
I'm developing a library for decision tree visualization https://github.com/mljar/supertree and would appreciate feedback on whether my visualization approach for XGBoost is correct. I've comp…
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### Motivation
Many `lmdeploy` counterparts(vllm, transformers, exllamav2...) provide `logits_processors` that allow users to modify the logits before softmax. This enables many useful features like …
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## 🐞Describing the bug
I am encountering persistent issues while trying to create an updatable neural network model in Core ML using the coremltools library. My goal is to develop a model that suppor…
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First, thank you for sharing your work!
Is there a pretrained model for the softmax classifier? (I.e. for predicting contradiction, entailment, and neutral)
If not, how to set the concatenation fo…
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Instructed by the document, I constructed a classifier and trained it using the following code:
clf = Classifier(
layers=[
Layer("Sigmoid", units=1000),
Layer("Softmax",units=8)],…