I'm getting an error " cannot import name 'multi_worker_mirrored_2x1_gpu_noshare' from 'tensorflow.python.distribute.strategy_combinations". How can i fix it? Could you help me?
Thank you so much! This video is very helpful :D Can you please explain why the input_shape of the LSTM layer is = (1,look_back) instead of (x_train[1],x_train[2]) ? Also is the only purpose of the dense layer to change the output shape of the model? Can we do the same prediction without the dense layer (using only the LSTM layer)? Thanks in advance for your help! :D
Thanks for watching ❤️. Please see this question answer stats.stackexchange.com/questions/383727/whats-the-difference-between-a-dense-layer-and-an-output-layer-in-a-cnn
Hi Zubair, This video is made in Full HD and I have already zoomed text size 125%. I think zooming more would show less code in visible screen area and that would be more difficult to understand. Thanks for your feedback.
Please check the code font size for this video and let me know if you can see properly on your mobile phone. Can you please check now font size for this video ua-cam.com/video/eqG34mp-R3A/v-deo.html I will make further videos with this font if it is okay?
@KGP Talkie can you add a snippet of code which provides a way to predict the future values once the model is made.
You used the minMax scaler before dividing the data into train and test, so basically you used the testing data to fit your data, isn't that wrong?
Akshay Goyal thanks for watching ❤️. No it's correct. Data scaling should happen before train test split to avoid over fitting.
Thank you! Can you share the codings for RMSE?
I'm getting an error " cannot import name 'multi_worker_mirrored_2x1_gpu_noshare' from 'tensorflow.python.distribute.strategy_combinations". How can i fix it? Could you help me?
How to implement the data set in this code.... Please elabrate
I saw your training time is very small, which machine are you using?
Akshay Goyal I was using i7 processor with 64 GB RAM without GPU.
Thank you so much! This video is very helpful :D
Can you please explain why the input_shape of the LSTM layer is = (1,look_back) instead of (x_train[1],x_train[2]) ? Also is the only purpose of the dense layer to change the output shape of the model? Can we do the same prediction without the dense layer (using only the LSTM layer)?
Thanks in advance for your help! :D
Thanks for watching ❤️. Please see this question answer
stats.stackexchange.com/questions/383727/whats-the-difference-between-a-dense-layer-and-an-output-layer-in-a-cnn
What to do if we want to make prediction for upcoming years?
please someone tell
why is activation function not used in Dense()
great understanding for me. Thanks lot.
please suggest me link for model creation and how to choose it attributes value of model.
regards,
Anand Singh
Do videos on churn prediction
I don't understand the look back loop
Great work nice onee again start working
Thank you Zubair for your appreciation.
@@KGPTalkie please sir increase the size of text font. Can not easily visible
Hi Zubair, This video is made in Full HD and I have already zoomed text size 125%. I think zooming more would show less code in visible screen area and that would be more difficult to understand. Thanks for your feedback.
@@KGPTalkie OK sir thanks
Please check the code font size for this video and let me know if you can see properly on your mobile phone.
Can you please check now font size for this video
ua-cam.com/video/eqG34mp-R3A/v-deo.html
I will make further videos with this font if it is okay?