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ISI Good Engineering Seminar: PyTorch
When: Oct 21, 2020 @ 11AM-12Noon
Where: Zoom (link will be shared later)
Please help me understand my audience by completing these questionnaire.
Please take a moment to specify what you like to learn.
* Indicates required question
Will you be attending it ? Oct 21, 2020 @ 11AM
*
Yes
No
Maybe
Which version of Python are you using for your work?
*
I'm NOT using python
Python 3.x
Python 2.X
How familiar are you with Numpy?
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Never used it
I have used it sometimes with simple arithmetic on 1d and 2d arrays
I can explain the answer to np.arange(24).reshape(2,3,4)[:, 1:2, 3:].sum()
I am a pro numpy user
Familiarity with deeplearning theory
*
I am new to deeplearning
Self taught and I have done some projects
I have completed a course work in machine learning (secured B or above grade)
I am a pro ML/DL engineer/researcher
What modality of data do you deal with? Pick only the most important modalities.
*
Images
Text / Sequences
Videos
Time series (other than text and video)
Trees / Graphs
Other:
Required
Which of these terms are you familiar with? Choose all that you are capable of explaining to another person if asked.
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ReLU
Gradient update rule
Sigmoid
Dropout
Softmax
Feed-forward network
Convolutional neural network (CNN)
Recurrent neural network (RNN)
Stochastic gradient descent (SGD)
Loss function
Cross Entropy
Mean square error (MSE)
Required
Have you used any deeplearning or machine learning libraries ?
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PyTorch
Tensorflow 1.x
Tensorflow 2.x
Keras
Sci-kit learn
Other:
Required
If you have used PyTorch, what is your highest expertise
N/A; Never used it and I am here to start
Beginner 1: copy pasted pytorch code from web and ran it
Beginner 2: Ran someone else's pytorch code of a complex model without understanding it
Intermediate: I wrote my own model with atleast 1M parameters and trained it on a GPU
Advanced 1: I have written many models and trained them on multiple GPUs
Advanced 2: I have written C++ extensions to pytorch
Clear selection
My priorities for this seminar are: (1=high priority 5=low priority)
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1
2
3
4
5
Install PyTorch
end-to-end example
multi-GPU training
FP16 training
Pytorch Internals
1
2
3
4
5
Install PyTorch
end-to-end example
multi-GPU training
FP16 training
Pytorch Internals
What topics do you like to hear in this seminar ? Or any other feedback.
Your answer
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