Principles behind neural networks and one hot encoding 

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Thanks a lot for this!

Intresting 🤔

What’s the difference between sparse categorical accuracy and accuracy?

Really nicely explained for layman, I feel like I understand more

Hi Laurence, thanks for the video, it is very interesting. But how do you fed 784 squares to the 20 neirons?

Why are there 20 neurons on the input and not 784? How do you input 784 data points in 20 neurons

6⁷6-kor

May i know the name of the network which you showed as an example? For retinopathy? Is that inception model?

“…and the concept remains the same for all networks”. That is a very didactic and useful idea!

at 6:59 , doesn't this network (GoogleNet) have 22 layers? the caption says 26. am I missing something?

TKS my friend

سهلي منصة تعليمية

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!

Hello

Hi

hola

Nice one!

Hallo

Gracias por tus consejos no se mucho pero aprendo de ustedes 🙏