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Torrent Details
[ TutGee.com ] Linkedin - Deep Learning - Model Optimization and Tuning
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Ebook/Course
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472.92 MB
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411
Uploaded:
Feb 12, 2022
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[ TutGee.com ] Linkedin - Deep Learning - Model Optimization and Tuning
Get Bonus Downloads Here.url
- 176 B
~Get Your Files Here !
1. Introduction
001. Optimizing neural networks.en.srt
- 1.29 KB
001. Optimizing neural networks.mp4
- 7.4 MB
002. Prerequisites for the course.en.srt
- 4.33 KB
002. Prerequisites for the course.mp4
- 19.68 MB
003. Setting up exercise files.en.srt
- 3.3 KB
003. Setting up exercise files.mp4
- 20.31 MB
2. Introduction to Deep Learning Optimization
004. What is deep learning.en.srt
- 2.6 KB
004. What is deep learning.mp4
- 14.41 MB
005. Review of artificial neural networks.en.srt
- 4.15 KB
005. Review of artificial neural networks.mp4
- 21.7 MB
006. An ANN model.en.srt
- 2.42 KB
006. An ANN model.mp4
- 13.64 MB
007. Model optimization and tuning.en.srt
- 2.42 KB
007. Model optimization and tuning.mp4
- 12.99 MB
008. The deep learning tuning process.en.srt
- 4.96 KB
008. The deep learning tuning process.mp4
- 25.07 MB
009. Experiment setups for the course.en.srt
- 3.22 KB
009. Experiment setups for the course.mp4
- 17.85 MB
3. Tuning the Deep Learning Network
010. Epoch and batch size tuning.en.srt
- 3.21 KB
010. Epoch and batch size tuning.mp4
- 16.84 MB
011. Epoch and batch size experiment.en.srt
- 4.8 KB
011. Epoch and batch size experiment.mp4
- 26.06 MB
012. Hidden layers tuning.en.srt
- 3.17 KB
012. Hidden layers tuning.mp4
- 16.93 MB
013. Determining nodes in a layer.en.srt
- 3.36 KB
013. Determining nodes in a layer.mp4
- 17.18 MB
014. Choosing activation functions.en.srt
- 3.23 KB
014. Choosing activation functions.mp4
- 17.21 MB
015. Initializing weights.en.srt
- 2.77 KB
015. Initializing weights.mp4
- 14.94 MB
4. Tuning Back Propagation
016. Vanishing and exploding gradients.en.srt
- 4.04 KB
016. Vanishing and exploding gradients.mp4
- 20.54 MB
017. Batch normalization.en.srt
- 3 KB
017. Batch normalization.mp4
- 15.66 MB
018. Optimizers.en.srt
- 2.42 KB
018. Optimizers.mp4
- 12.15 MB
019. Optimizer experiment.en.srt
- 2.06 KB
019. Optimizer experiment.mp4
- 10.51 MB
020. Learning rate.en.srt
- 1.94 KB
020. Learning rate.mp4
- 10.22 MB
021. Learning rate experiment.en.srt
- 1.84 KB
021. Learning rate experiment.mp4
- 10.53 MB
5. Overfitting Management
022. Overfitting in ANNs.en.srt
- 3.1 KB
022. Overfitting in ANNs.mp4
- 15.72 MB
023. Regularization.en.srt
- 1.31 KB
023. Regularization.mp4
- 7.3 MB
024. Regularization experiment.en.srt
- 1.3 KB
024. Regularization experiment.mp4
- 7.31 MB
025. Dropouts.en.srt
- 1.71 KB
025. Dropouts.mp4
- 8.5 MB
026. Dropout experiment.en.srt
- 1.44 KB
026. Dropout experiment.mp4
- 8.26 MB
6. Model Tuning Exercise
027. Tuning exercise Problem statement.en.srt
- 6.49 KB
027. Tuning exercise Problem statement.mp4
- 33.87 MB
028. Acquire and process data.en.srt
- 1.45 KB
028. Acquire and process data.mp4
- 7.49 MB
029. Tuning the network.en.srt
- 1.87 KB
029. Tuning the network.mp4
- 9.02 MB
030. Tuning backpropagation.en.srt
- 1.27 KB
030. Tuning backpropagation.mp4
- 7.31 MB
031. Avoiding overfitting.en.srt
- 1.32 KB
031. Avoiding overfitting.mp4
- 7.46 MB
032. Building the final model.en.srt
- 2.14 KB
032. Building the final model.mp4
- 11.63 MB
7. Conclusion
033. Continuing your deep learning journey.en.srt
- 1.14 KB
033. Continuing your deep learning journey.mp4
- 5.96 MB
Bonus Resources.txt
- 386 B
Ex_Files_Deep_Learning_Model_Optimization_Tuning
Exercise Files
Common_Experiment_Functions.ipynb
- 21.12 KB
code_02_XX Tuning the Deep Learning Network.ipynb
- 346.75 KB
code_03_XX Tuning Back Propagation.ipynb
- 197.78 KB
code_04_XX Overfitting Management.ipynb
- 128.59 KB
code_05_XX Incident Root Cause Analysis Exercise.ipynb
- 420.39 KB
iris.csv
- 3.78 KB
root_cause_analysis.csv
- 31.92 KB
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InfoHash:
AEDAB71CE84970B8C2C6EB1CAA78450B216F168E
Last updated:
Feb 12, 2022
File count:
75 B
File Category:
9
Tags:
Other, Tutorials
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