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**Is your feature request related to a problem? Please describe.**
I would like to refactor geo-deep-learning to be modular, composable and maintainable.
**Describe the solution you'd like**
geo-…
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we know if we have more data ,time and power we can do more accuracy predictions, we can do pre-computations and creating one powerful model, but the behavior of each sensor is different
we think how…
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Started deep learning from Neural Networks Course of Andrew NG
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Use pytorch and tesorflow to read CIFAR 10
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--> how to store, transfer and apply (trained) models in deep learning; most common formats for storing models, parts of models, etc..
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### Describe the feature or idea you want to propose
following dev discussion about codecov, looking at lack of testing coverage for networks. I think its because it lacks tests of certain
paramete…
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When I was studying Protein Deep Learning, I encountered a new problem. When I ran to this part
information = {}
count = 1
failures=[]
for code,tm,numr,wt_val,mut_val in zip(codes,tms,resnum,wt,…
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--> what are the main challenges when applying DL to spatial data / EO data (as compared to non-spatial applications) and what methods and strategies exist to tackle these challenges?; examples of EO …
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## Addition of an AI Vision-Based Solution for Road Condition Monitoring
The solution aims to automate the detection and classification of road surface defects (such as potholes, cracks, etc.) usin…