Looking for a simple ML custom loss function using TensorFlow Keras

Completado Publicado hace 9 meses Pagado a la entrega
Completado Pagado a la entrega

I am looking for a data scientist to create a custom loss function in Python and Tensorflow 2 (Keras Sequential), this should be straightforward for someone who knows what they're doing.

The input is sequential numeric, I would like the custom loss function such that for y[-1] (previous actual value), y (next actual value) and yhat (next predicted value based on previous values):

- if y[-1] < y < yhat, loss = 1

- if y[-1] > y > yhat, loss = -1

- else, loss = 10

Print out all 3 values.

Note, input tensor should be a sequential numeric series of specific window size, y[-1] is the last value in the series.

Please start your bid with "I do tensors", otherwise your bid is ignored.

Tensorflow Keras

Nº del proyecto: #36933781

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7 propuestas Proyecto remoto Activo hace 9 meses

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azizullah444

"I do tensors" Greetings ESStudio! I have excellent skills regarding your project as I have over 8 years of industrial experience. Kindly acknowledge me back to discuss this further and start work right away. Waiting Más

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7 freelancers están ofertando un promedio de $17 por este trabajo

polarcoding7509

Dear client, I appreciate the opportunity to bid on your project. As an experienced data scientist and Python developer, I am confident in my ability to create a custom loss function in Python and Tensorflow 2 (Keras Más

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DataScinceFizer

Hello there, I developed an intuitive feeling about Python programming. I can write clean validated Python code and make a device-supported py. File. I am a *TOP 1% freelancer who has great skills in Python, Numpy, Pyc Más

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IcsfIT789

Hi dear client, I am a Data Scientist and Computers and Systems Engineer (CSE) has great knowledge an enthusiasm in program Development. I can write clean, validated python code and make a device-supported .py File. I Más

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martinbuz123

I understand that you are looking for someone to create a custom loss function in Python and Tensorflow 2 (Keras Sequential). This should be straightforward for someone who knows what they're doing. I have the necess Más

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