Classifying Images with a Linear Model Reviews
3945 reviews
Prachi T. · Reviewed over 1 year ago
Ankit U. · Reviewed over 1 year ago
Ganapathi V. · Reviewed over 1 year ago
Lonnie Y. · Reviewed over 1 year ago
Training takes too long, just add in a pretrained model
rahil v. · Reviewed over 1 year ago
哲希 郭. · Reviewed over 1 year ago
Ganapathi V. · Reviewed over 1 year ago
Even after completing the notebook, Progress is not added
Dharani Prabhu N. · Reviewed over 1 year ago
Shailendra M. · Reviewed over 1 year ago
Something is wrong with this lab. Run all the lines of codes in the Jupiter notebook; however, progress check for the task "Classify images with a Linear model in your Notebook" did not turn GREEN to make the lab 100% complete. Please look into this issue. Thank you.
Julia S. · Reviewed over 1 year ago
Dominic M. · Reviewed over 1 year ago
Farah A. · Reviewed over 1 year ago
Something is wrong with this lab. Run all the lines of codes in the Jupiter notebook; however, progress check for the task "Classify images with a Linear model in your Notebook" did not turn GREEN to make the lab 100% complete. Please look into this issue. Thank you.
Julia S. · Reviewed over 1 year ago
Ahmed A. · Reviewed over 1 year ago
Something is wrong with this lab. Run all the lines of codes in the Jupiter notebook; however, progress check for the task "Classify images with a Linear model in your Notebook" did not turn GREEN to make the lab 100% complete. Please look into this issue. Thank you.
Julia S. · Reviewed over 1 year ago
Explored the linear model for image classification and learned to predict the 5 flower dataset with computer vision
SIVASUBRAMANIAN .. · Reviewed over 1 year ago
Juan Pedro A. · Reviewed over 1 year ago
Shailendra M. · Reviewed over 1 year ago
Anand K. · Reviewed over 1 year ago
Serxhio R. · Reviewed over 1 year ago
Dhiraj B. · Reviewed over 1 year ago
Devin S. · Reviewed over 1 year ago
RAAGHAVAN K. · Reviewed over 1 year ago
syed shafeeq h. · Reviewed over 1 year ago
Anand K. · Reviewed over 1 year ago
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