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View Code? Open in Web Editor NEWA collection of Jupyter Notebooks that are designed to teach life science students about deep learning.
Home Page: https://doi.org/10.1002/ardp.202200628
License: Other
A collection of Jupyter Notebooks that are designed to teach life science students about deep learning.
Home Page: https://doi.org/10.1002/ardp.202200628
License: Other
At least notebooks 03 and 04 (english) still have a line in the practice exercise asking to submit the solution.
Dead link:
https://pennylane.ai/qml/_images/transfer_learning_general.png
What exactly was displayed here?
We should add the section, so advanced users can skip certain notebooks / skip to certain sections.
Also rename the section (either "Learning Objectives" or "In this section you'll learn".
Notebook | EN | GER ("Lernziele") |
---|---|---|
01 - Introduction to Jupyter | missing | missing |
02 - Introduction to Python | missing | missing |
03 - Cheminformatics | ||
04 - Linear Regression | ||
05 - Data Science | ||
06 - Linear Algebra for NN | ||
07 - First Neural Net | ||
08 - PyTorch | ||
09 - Convolutional Neural Network | missing | missing |
10 - Transfer Learning | ||
11 - Recurrent Neural Networks | missing | missing |
12 - Autoencoders | called "Learning Objectives" | |
13 - Graph Neural Networks | called "Learning Objectives" | |
14 - Summary | called "Learning Objectives" |
hi, thanks a lot to provide such good materials for learning.
i have a question about setion 13, as mentioned,
For the one-hot encoding of the atoms we use the already written function onehotencode().
but i cannot find the function in other sections. could you please provide more detailed codes for this function?
many thanks,
best,
We need to add GPU support to Week 12 Autoencoders
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