Running R in Google Colab | For Keras, TensorFlow and GPU Support

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TIMESTAMP
00:00 Two key benefits of R in Google's colab
01:15 Colab platform, R/Python & GPU/TPU options
02:25 Adding codes and comments
03:00 Preloaded R packages
03:50 Folder and data in CSV formats
04:15 Reading and uploading CSV files
07:00 Github
09:30 Installing packages
12:25 Saving file and sharing with others
13:05 Creating PDF from the notebook

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Thank you Dr. Bharatendra as always for your helpful videos!

neeveshnaraynen
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Thank you Dr. Bharatendra for share . Always very useful information.

miguellopez
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I was just googling this, so glad you dropped the video

vincenthaller
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Thank you for another informative video 🙏

newsupdates
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Thanks for the tutorial. Very informative

francisowino
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Thank you very much. This was fantastic! Would you possibly be able to do a u-net image segmentation tutorial in R please?

asjsingh
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Thank you so much Dr. Bharatendra! Please, maybe sometime in the future, could you also make a video showing how to build a deep learning classification model with Torch for R?

ifeanyiidiaye
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Thank you so much for making this video. Sir, I have one query that is it possible to install a new package in R colab?

prakashstats
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Sir can u upload video on Unet sematic segmentation in R

josegeorge
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Thank you! How to configure the script to run on a schedule in google colabs?

romanmagic
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I have started using keras (and ultimately tf) for deep learning models in R given the level of customization compared with the h2o framework, however I am still experiencing issues with GPU acceleration in both colab and Kaggle. Have you faced the same problem lately? It should be noted that in Kaggle, GPU capabilities have been limited to images recognition/generation lately, most likely because some users started using GPU acceleration for unethical jobs (e.g. hydra, john, etc)

kadourkadouri
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Thank you very much sir! I have one query, how to install EBImage package in google colab R environment? Please help

mr.dhavalvpatel
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I tried to install the R package EBImage by the following code under colal, but failed to install it.



library(EBImage)

The error message is: Error in library(EBImage): there is no package called ‘EBImage’
Traceback:

1. library(EBImage)
Any solution? thank you

zhanyouxu
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I don't see Runtime Type option in notebook settings. Is it not longer available?

jodomof
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Sir can I use google colab instead of r studio..are all features available in google colab which are there in r studio...

aks
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We can not run Colab R Kernel with GPU since about 3 weeks ago. The R kernel used to work with both GPU and CPU. But not for GPU now. Anyone see the same problem?

中山管院商業數據分析
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Sir, if there is a missing value in categorical variable then how we can handle that ? Is it possible to use any classifier methodology and use others independent variable to predict the missing categorical variable.

kartikjha
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🙏 Sir. Sir do you have any idea how to convert probability density to cumulative density form.

suvamdas
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Please assist me in installing partitions packages in R colab.

prakashstats
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# Evaluate
model %>% evaluate(test, testLabels)

# Prediction
pred <- model %>%
predict_classes(test)
table(Predicted=pred, Actual=testtarget)

Warning message in predict_classes(., test):
“`predict_classes()` is deprecated and and was removed from tensorflow in version 2.6.
Please update your code:
* If your model does multi-class classification:
(e.g. if it uses a `softmax` last-layer activation).

model %>% predict(x) %>% k_argmax()

what to do?

dixitraj