DataBloomI have a model with multiple outputs. It’s trained with one loss function that minimizes loss for all of them together.
After the model is trained, I’m curious about the individual losses of each output. Is there anyway to easily evaluate the model so that I get multiple losses, one for each output?
submitted by /u/first_past_the_post
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Gal Dalal wants to ease the commute for those who work from home — or the office. The senior research scientist at NVIDIA, who is part of a 10-person lab in Israel, is using AI to reduce congestion on computer networks. For laptop jockeys, a spinning circle of death — or worse, a frozen cursor Read article >
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The code works perfectly fine if I don’t include my custom accuracy metric function. Can someone tell the fix for the same?
Accuracy Metric Function
def get_multiaccuracy(y_true, y_pred): total_labels = 0 correct_labels = 0 for i, val in enumerate(y_true): if val == 1: total_labels += 1 if y_pred[i] == 1: correct_labels += 1 for i, val in enumerate(y_pred): if val == 1: if y_true[i] != 1: total_labels += 1 return correct_labels/total_labels
Model Compiler
model.compile(optimizer = 'adam', loss='binary_crossentropy',metrics=[get_multiaccuracy])
submitted by /u/ChaosAdm
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Hello, i am using tensorflow-addons API for a machine translation project.
I want to load my models and do predictions without train again them.
My architecture is Encoder – Decoder with Bahdanau Attention mechanism.
When i try to serialize the encoder and decoder objects in a file and i get this error :
TypeError: can’t pickle tensorflow.python.client._pywrap_tf_session.TF_Operation objects
How can i resolve this ?
submitted by /u/mdsoft6
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Traveling the scenic route between Wantage, a small town in Oxfordshire, and Coventry in the U.K. meanders up steep hills, past the birthplace of Shakespeare and skirts around 19th-century English bathhouses. A project using edge computing and the world’s first 5G-enabled VR technology is enabling two engineering teams in those locales, about 70 miles apart, Read article >
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Hey everyone, this has happened to me a couple of times now and I dont realize why.
Throughout fitting a pretrained model from huggingface (but also happened on own models) the metric (not only my custom metric, but also accuracy etc.) suddenly drop to 0 at a random epoch (sometimes 3rd, sometimes 4th, sometimes another..) and doesnt return. submitted by /u/hardwareDE |
