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Vector Based Back Propagation in Python

$30-250 USD

Completed
Posted about 4 years ago

$30-250 USD

Paid on delivery
You are required to calculate the gradients of ?(x,w) = ‖?(??)‖^2 with respect to x_i and W_(i,j). Here ‖∙‖^2 is the calculation of L2 loss, W is 3‐by‐3 matrix and x is 3‐by‐1 vector, and ?(∙) is sigmoid function that performs element‐wise sigmoid operation. (a) Use computational graph for calculation (b) Based on(a), write a program to implement the computational graph and verify your answer in (a). You can use vectorized approach to simply your codes. Note: You are free to choose the inputs of your computational graph.
Project ID: 24323193

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5 proposals
Remote project
Active 4 yrs ago

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Hello, I am an independent, experienced machine learning expert. I can help with this task with a quick turn-around. Looking to hearing from you. Kind regards Rina B.
$90 USD in 3 days
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Hello! I am an expert in GIS and web development. I can complete this work faster than other freelancers, please contact me to discuss more details about it. I have read your description and I am very interested. Thank you.
$50 USD in 7 days
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Hi, sir Here is honest Python expert with Latest Technologies & Web developer with enough experience. Your project is really what I've been looking forward by now. FIRMLY if you hire me, I'll CREATE good result! Thank you for your attention. Carlos
$140 USD in 5 days
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Am interested in the project. Am an experienced, professional Mechanical Engineer with a good grip on the following softwares: +Python +Machine learning + Arduino +Matlab +Deep learning among others kindly contact so we can work
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Budd Lake, United States
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