Classifying Images with a Linear Model Reviews
3945 reviews
Prachi T. · Reviewed מעל שנה אחת ago
Ankit U. · Reviewed מעל שנה אחת ago
Ganapathi V. · Reviewed מעל שנה אחת ago
Lonnie Y. · Reviewed מעל שנה אחת ago
Training takes too long, just add in a pretrained model
rahil v. · Reviewed מעל שנה אחת ago
哲希 郭. · Reviewed מעל שנה אחת ago
Ganapathi V. · Reviewed מעל שנה אחת ago
Even after completing the notebook, Progress is not added
Dharani Prabhu N. · Reviewed מעל שנה אחת ago
Shailendra M. · Reviewed מעל שנה אחת 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 מעל שנה אחת ago
Dominic M. · Reviewed מעל שנה אחת ago
Farah A. · Reviewed מעל שנה אחת 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 מעל שנה אחת ago
Ahmed A. · Reviewed מעל שנה אחת 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 מעל שנה אחת ago
Explored the linear model for image classification and learned to predict the 5 flower dataset with computer vision
SIVASUBRAMANIAN .. · Reviewed מעל שנה אחת ago
Juan Pedro A. · Reviewed מעל שנה אחת ago
Shailendra M. · Reviewed מעל שנה אחת ago
Anand K. · Reviewed מעל שנה אחת ago
Serxhio R. · Reviewed מעל שנה אחת ago
Dhiraj B. · Reviewed מעל שנה אחת ago
Devin S. · Reviewed מעל שנה אחת ago
RAAGHAVAN K. · Reviewed מעל שנה אחת ago
syed shafeeq h. · Reviewed מעל שנה אחת ago
Anand K. · Reviewed מעל שנה אחת ago
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