Deep Learning Specialization Deep Learning Resources
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Feedforward Neural Networks in Depth
Forward propagation, backward propagation, various activation functions, various cost functions, vectorization… :exploding_head: Would you like to read my derivation of the mathematics behind feedforward neural networ… |
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61 | 81385 | November 22, 2024 |
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DLS Course 2: Lecture Notes
Lecture notes of the C2 - Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization of the Deep Learning Specialisation. Note: These slides haven’t been maintained, and that you might find m… |
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6 | 112015 | September 30, 2021 |
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DLS Course 5: Lecture Notes
Lecture notes of the C5 - Sequence Models of the Deep Learning Specialisation. Note: These slides haven’t been maintained, and that you might find missing topics and incorrect information in them, as opposed to lecture … |
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2 | 84035 | September 8, 2021 |
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DLS Course 4: Lecture Notes
Lecture notes of the C4 - Convolutional Neural Networks of the Deep Learning Specialisation. Note: These slides haven’t been maintained, and that you might find missing topics and incorrect information in them, as oppos… |
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2 | 113006 | September 8, 2021 |
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DLS Course 3: Lecture Notes
Lecture notes of the C3 - Structuring Machine Learning Projects of the Deep Learning Specialisation. Note: These slides haven’t been maintained, and that you might find missing topics and incorrect information in them, … |
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4 | 63524 | September 6, 2021 |
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DLS Course 1: Lecture Notes
Lecture notes of the C1 - Neural Networks and Deep Learning of the Deep Learning Specialisation. Note: These slides haven’t been maintained, and that you might find missing topics and incorrect information in them, as o… |
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2 | 365105 | September 2, 2021 |
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About the Deep Learning Resources category
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0 | 758 | May 2, 2021 |
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Deep Learning Bibliography
If you are interested in finding some textbooks either as an accompaniment to this course or as a way to dig deeper, here are some suggestions: François Chollet’s Deep Learning with Python is a good beginner-level book,… |
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25 | 5033 | October 13, 2024 |
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Possible error in lecture slides
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5 | 919 | December 27, 2024 |
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Follow-on to Deep Learning Specialization in late 2024/2025?
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1 | 45 | December 16, 2024 |
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Conda env for notebook of programming assignment
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2 | 18 | December 14, 2024 |
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Question on Train/Test Split and Data Handling in Pre-Trained Models for NMT Assignment
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3 | 18 | December 4, 2024 |
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Finished the Deep Learning Specialization, now what?
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2 | 354 | October 30, 2024 |
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Custom Back Propagation in Deep Learning
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6 | 33 | October 2, 2024 |
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Missing drawing for the softmax slides
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1 | 19 | September 22, 2024 |
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Book, reference or resource with similar info from week 1 ML Strategy
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1 | 334 | July 22, 2024 |
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Coursera certificate is not showing
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2 | 182 | July 9, 2024 |
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Financial aid for courses
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1 | 147 | July 4, 2024 |
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Deep Learning Specialization includes pre-trained models usage?
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2 | 127 | April 19, 2024 |
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Image_segmentation_Unet_v2 - build the model (problem)
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7 | 239 | March 8, 2024 |
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Programming Assignment: Transformers Architecture with TensorFlow-Exercise 6 - DecoderLayer
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3 | 319 | February 13, 2024 |
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Purchase a subscription to unlock this item error
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5 | 228 | January 25, 2024 |
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Download video lectures?
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5 | 1125 | January 18, 2024 |
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What's the difference between X[0] and X[0,:]
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4 | 307 | January 18, 2024 |
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Can anyone send me the link to week 3 assignment of DLS Course 1
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1 | 194 | January 12, 2024 |
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The choice between using * (element-wise multiplication) and np.dot (dot product)
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1 | 281 | January 2, 2024 |
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Thanks! And... where next?
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2 | 285 | December 30, 2023 |
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Staying up to date
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1 | 225 | December 22, 2023 |
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Reference Book
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2 | 917 | December 3, 2023 |
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Papers for Beginners
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2 | 791 | November 12, 2023 |