How to set up the Hyperparameters of a Neural Network
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- Опубліковано 25 сер 2024
- Neural Networks have a lot of knobs and buttons you have to set correctly to get the best possible performance out of it. Although some of them are self-explanatory and easy to understand (like the number of neurons in the input layer) and choose, there are many hyperparameters that are a bit more complex in terms of how they affect the outcome of the model (e.g. number of layers, the batch size or weight initialization).
In this hands-on tutorial, we will learn how to change the values for the hyperparameteres we learned about in the previous lessons in implementation. Specifically in Python and Keras.
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Thanks. One of the best videos on youtube for explaining all of these topics.
That's great to hear! Thank you :)
mam, the way u explained the concept of hyperparameter was just superb thank u for this wonderful video!
These one is a good review of all that came before. I guess building these things is actually easy but the hard part is understanding how get all these tools and parameters to best fit with a particular use case? Therein lies the art.
Well, so far the best videos I found on UA-cam. Thanks a lot☺
Wow, thanks!
Thanks!
Thank you!
Excellent as always!!!
Thank you! Cheers!
Thank you Misra! 💐
You're very welcome :)
Always very interesting 🪄🌞 And naturally explained. Congrats and thank you so much Misra
You're very welcome Jonathan!
Thanks for detailed explanation.
Can you zoom in your screen next time?
Noted!
Hey Misra, what is the unavailable video in this playlist? Are we missing something?
Maybe it was a video I deleted after uploading. Probably you can't see it anymore right?
@@misraturp Right!!