DeepLearning.AI
Explanation for derived gradients for LSTM back-prop
Course Q&A
Deep Learning Specialization
Sequence Models
coursera-platform
dwyerfire
July 30, 2021, 6:55pm
1
Screen_Shot_2021-07-30_at_2.54.46_PM
1496×966 85.2 KB
TMosh
June 15, 2022, 5:23pm
2
it depends on what you define as ‘x’.
Related topics
Topic
Replies
Views
Activity
Emojifier-V1 Gradient Descent Code
Sequence Models
week-module-2
,
coursera-platform
1
105
May 31, 2024
Sequence Model_LSTM backward_Week1_function
Sequence Models
week-module-1
,
coursera-platform
2
261
January 29, 2024
Additional resources back-propagation in sequence models
Sequence Models
coursera-platform
3
620
December 10, 2021
Explanation for derived gradients for LSTM back-prop?
Sequence Models
coursera-platform
3
681
September 6, 2021
Deep Learning Specialization, C5, W1
Sequence Models
week-module-1
,
coursera-platform
3
179
April 3, 2024