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Machine Learning is the Future and yours can begin today. Comment below with you email to get our latest Machine Learning Career Guide. Let your journey begin
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Love this video, thanks Simplilearn. The information is very useful and will help in my interview
Hey Pooja, thank you for watching our video. We are glad that you liked our video. Do subscribe and stay connected with us. Cheers :)
Yes I have question. The question is that what should be the receptive field at the last layer of CNN?
Highly condensed version of Neural networks and deep learning. Thank You very much !
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Thank you so much. It's really helpful.
You are welcome!
Machine Learning is the Future and yours can begin today. Comment below with you email to get our latest Machine Learning Career Guide. Let your journey begin
Thank you for these great questions
Glad you like them!
Thank you Mike and Simplilearn. I'm eating the ML series one bite at a time.
WooHoo! We are so happy you love our videos. Please do keep checking back in. If you are interested to take up a more structured and formal course, you can find the details here: www.simplilearn.com/big-data-and-analytics/machine-learning-certification-training-course.
Do you have any questions on this topic? Please share your feedback in the comment section below and we'll have our experts answer it for you.
Thanks for watching the video. Cheers!
whoever have given deap learning interviews, plz reply if this level of preparation is enough.
Most of the interviews I had to take almost always had laborious coding sessions wrt tensor flow keras and/or pytorch
I really like your slides, could you please share your them? In pptx format if it is possible. Thanks
HI, thanks for watching our video. To view the slides of this video, check this link out: www.slideshare.net/Simplilearn/deep-learning-interview-questions-and-answers-ai-deep-learning-interview-questions-simplilearn/Simplilearn/deep-learning-interview-questions-and-answers-ai-deep-learning-interview-questions-simplilearn.
Hope that helps!
great explanation
Glad you think so!
How to decide which algorithm to use like lvq or svm ?
Deciding which algorithm to use depends on the type of target variable (numerical orcategorical) and the amount of data you are dealing with.
slide sharing?
Hi, thanks for checking out our video. Check this SlideShare link to get the slides for this video: www.slideshare.net/Simplilearn/deep-learning-interview-questions-and-answers-ai-deep-learning-interview-questions-simplilearn/Simplilearn/deep-learning-interview-questions-and-answers-ai-deep-learning-interview-questions-simplilearn. Do subscribe to our channel to stay posted on upcoming tutorials. Cheers!