Hi brother could you tell me what should I do at this stage:--- Unable to allocate 47.7 GiB for an array with shape (368545, 17360) and data type int64 at the time of performing logistic regression....
Thank you for your amazing knowledge sharing. A doubt related to this video - Are the simulations performed for each test data observation? If yes, does that mean epochs for each test data point which is similar to epochs for whole test data in ANN?
Hello Sir, I have a question, is there are any consequences if decline job appointment letter after accepting (if appointment letter mentioned specific class as " if I don't join on said date, need to pay damages and need to appear in court). Please clarify - Thanks
are the weights multiplied by p or the keep prob (1-p) during the test simulation. the ''Hands on machine learning' book states that is is the keep prob. Could you clarify. Thanks
We are all waiting for your 7 days of Deep Learning Series
Just waiting for 1 million subscribers for this great teacher.
I've never heard of monte carlo dropout but from this video i was able to grasp the intuition of the monte Carlo dropout layers. Thank you sir.
Can you make a video on the practical implementation of the MC dropout technique?
Deep learning - 7 days live sir please
I am also waiting...
Yes Krish
sir can you plz do deep learning 7 days sessions....please sir
When Deep Learning live session's will start sir
Hi brother could you tell me what should I do at this stage:---
Unable to allocate 47.7 GiB for an array with shape (368545, 17360) and data type int64
at the time of performing logistic regression....
Thank you for your amazing knowledge sharing. A doubt related to this video - Are the simulations performed for each test data observation? If yes, does that mean epochs for each test data point which is similar to epochs for whole test data in ANN?
The weights will be fixed but droput layer will be activated for each data point
Thank you!
Hello Sir,
I have a question, is there are any consequences if decline job appointment letter after accepting (if appointment letter mentioned specific class as " if I don't join on said date, need to pay damages and need to appear in court).
Please clarify - Thanks
are the weights multiplied by p or the keep prob (1-p) during the test simulation. the ''Hands on machine learning' book states that is is the keep prob. Could you clarify.
Thanks
I think weight should be multiply by (1-P)
pred weight= training weight * time available
This is complete deep learning series?
Make videos for reinforcement learning
This is complete deep learning series? 0:56
May I talk with you sir
This is complete deep learning series?
This is complete deep learning series?