Solve your model’s overfitting and underfitting problems - Pt.1 (Coding TensorFlow)
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- เผยแพร่เมื่อ 10 ต.ค. 2018
- In this Coding TensorFlow episode, Magnus gives us an overview of a common machine learning problem, overfitting and underfitting. The goal of preventing overfitting is to develop models that generalize well to testing data, especially data that they haven't seen before. Where as, in underfitting your model has room for improvement. It may not have learned the important patterns in the training data. Watch to learn more, follow along with the link below, and stay tuned for part 2 of this Coding TensorFlow episode!
Explore overfitting and underfitting written tutorial → bit.ly/2RFJR2O
Follow along in Colab! → bit.ly/2yAwubE
Watch our Text Classification videos:
Pt.1 → bit.ly/2OkYWJ9
Pt.2 → bit.ly/2pVwhMh
Learn more on overfitting and underfitting in this video → bit.ly/2Ptf1sR
Check out the Machine Learning Crash Course
with TensorFlow APIs → bit.ly/2MLUDkU
Watch more Coding TensorFlow → bit.ly/2zoZfvt
Subscribe to TensorFlow → bit.ly/TensorFlow1
What a nice guy, love his spirit!!
It's too awesome and gentle introduction to this topic. I like it very much.
The first time in my life that I smile watching a MachineLearning Video!
Can someone please explain
Is there a making a restraining order tutorial
great one, thanks
Nice guy, he explains very well :)
Magnus is pretty funny; definitely enjoyed the video :-)
this guy is amazing
keep posting good work
How does an underfitting chart looks like?
Ah what a nice guy <3
nice guy<3
Haha, nice style!
this guy's awesome
dear tensorflow community please check the version of Tf 2.5 ,It is not working properly with numpy
I love the way he talks
2:04
cool
Xàm ghê diễn lố vc :D nice bro, great one, thanks you