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@АнастасияНазарова-з7у2 жыл бұрын
Ке332цфф%#//, 74
@megairrational2 жыл бұрын
“…and the concept remains the same for all networks”. That is a very didactic and useful idea!
@laurencemoroney6552 жыл бұрын
That's the goal!
@alexanderkarpov21152 жыл бұрын
Hi Laurence, thanks for the video, it is very interesting. But how do you fed 784 squares to the 20 neirons?
@laurencemoroney6552 жыл бұрын
The 'Flatten' layer in Keras handles that for you
@alexanderkarpov21152 жыл бұрын
@@laurencemoroney655 Thanks for answer
@atulkumbhar262 жыл бұрын
It's the layer of the matrix and which get flatteren in 28 * 28 * 1
@crystalcleargirl07 Жыл бұрын
Really nicely explained for layman, I feel like I understand more
@sudarshan_2 жыл бұрын
at 6:59 , doesn't this network (GoogleNet) have 22 layers? the caption says 26. am I missing something?
@banerz2 жыл бұрын
May i know the name of the network which you showed as an example? For retinopathy? Is that inception model?
@sudarshan_2 жыл бұрын
Yes, Inception V1 with 22 layers, but not sure why there is "26 layers" in the caption.
@beticuben2 жыл бұрын
Hi Lawrence, thank you so much for the easy to understand and to the points videos. I have completed a model and am finding a way to deploy it to a webpage. Do you know any good tutorials or books that teach how to deploy models? Appreciate your help!
@laurencemoroney6552 жыл бұрын
Try my book "AI and Machine Learning for On-Device Development" :)
@azuremis2 жыл бұрын
I think this may help ~ kzbin.info/aero/PLtqF5YXg7GLmCvTswG32NqQypOuYkPRUE
@prajyot20212 жыл бұрын
Have u uploaded it on webpage. If yes how?
@william_88442 жыл бұрын
Why are there 20 neurons on the input and not 784? How do you input 784 data points in 20 neurons
@nitinaugustine41662 жыл бұрын
What’s the difference between sparse categorical accuracy and accuracy?
@laurencemoroney6552 жыл бұрын
This link is useful: www.tensorflow.org/api_docs/python/tf/keras/metrics/SparseCategoricalAccuracy
@giahsiao Жыл бұрын
Thanks a lot for this!
@mariocifuentes1152 жыл бұрын
Gracias por tus consejos no se mucho pero aprendo de ustedes 🙏