Throughout this series on neural networks with TensorFlow we only covered some basics as well as important theoretical aspects, which anyone who starts studying deep learning must know. In this particular video we keep insisting on theory and we discuss about the loss function. There are two functions that stand out: mean squared error, and cross entropy. We'll be applying both of them in future lesson. Here we also have some hands-on practice with the code as we try to understand these concepts. I hope you learning something new from this lesson and I hope to spark your attraction to the field of machine learning and deep learning, which is in tremendous need of skillful people. ___ <center>https://www.youtube.com/watch?v=MXWHDVGCYb0</center> ___ ### <center>To stay in touch with me, follow @cristi</center> ___ [Cristi Vlad](http://cristivlad.com) Self-Experimenter and Author
author | cristi |
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permlink | neural-networks-and-tensorflow-deep-learning-series-part-9 |
category | deep-learning |
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WARNING - The message you received from @jufry is a CONFIRMED SCAM! DO NOT FOLLOW any instruction and DO NOT CLICK on any link in the comment! For more information, read this post: https://steemit.com/steemit/@arcange/phishing-site-reported-autosteem-dot-info Please consider to upvote this warning if you find my work to protect you and the platform valuable. Your support is welcome!
author | arcange |
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permlink | re-neural-networks-and-tensorflow-deep-learning-series-part-9-20180410t185826000z |
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So I started watching the video. I was struck by a very sharp pain in frontal lobe. I think I am still suffering from PTSD and flashbacks from my last ANN class. On serious note: I now know the fact that the loss function is kind of amount of inconsistency between the actual and the predicted value and RMSing the result gives you that deviation. The thing is that all this simple stuff sounds like sanskrit in the class. Man those were the days
author | hashcash |
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permlink | re-cristi-neural-networks-and-tensorflow-deep-learning-series-part-9-20180410t122421979z |
category | deep-learning |
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It's just easier today as you can simply call a method or a function and you don't have to worry about what's under the hood. However, I always say that you're better of if you understand how things work on a fundamental level.
author | cristi |
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permlink | re-hashcash-re-cristi-neural-networks-and-tensorflow-deep-learning-series-part-9-20180410t134619869z |
category | deep-learning |
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I mean we could do it too. But you know how the mind works sometimes...................I just felt guilty of using it without getting to the heart of the matter. Even learning all that didn't really improve my grade. Got rid of the subject though :-)
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permlink | re-cristi-re-hashcash-re-cristi-neural-networks-and-tensorflow-deep-learning-series-part-9-20180410t124707135z |
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permlink | re-cristi-neural-networks-and-tensorflow-deep-learning-series-part-9-20180410t122127354z |
category | deep-learning |
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Hello Cristi How r u dear Pls vote me pls I have already given u vote pls
author | kashifnaseem |
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permlink | re-cristi-neural-networks-and-tensorflow-deep-learning-series-part-9-20180410t121854455z |
category | deep-learning |
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Good post thanks for sharing 
author | khadafibarawas |
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permlink | re-cristi-neural-networks-and-tensorflow-deep-learning-series-part-9-20180412t022840544z |
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