Questions tagged [numpy]
For questions related to the NumPy library that are NOT just about programming issues (which are off-topic here).
7
questions
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0answers
6 views
Using GAN to create multiple images as per multiple input layers
How to use GAN to create multiple images like https://opensea.io/collection/boredapeyachtclub
here, each attribute is variable like fur, BG, Expression, Sunglasses, etc.
Is there any GAN software to ...
0
votes
0answers
30 views
Yolo from scratch dataset and output
Hi I coded a YOLO model from scratch and just came to realise that my dataset does not fit the models output. This is what I mean: The model outputs a ...
1
vote
0answers
19 views
Neural network algorithm implementation for Iris dataset
I want to use Neural network algorithm over famous Iris dataset.
Iris dataset attributes names
sepal length in cm
sepal width in cm
petal length in cm
petal width in cm
Sample dataset:
...
1
vote
1answer
176 views
Value Iteration failing to converge to optimal value function in Sutton-Barto's Gambler problem
In Example 4.3:Gambler's Problem of Sutton and Barto's book whose code is given here.
In this code the value function array is initialized as np.zeros(states) where ...
4
votes
1answer
118 views
Why is my derivation of the back-propagation equations inconsistent with Andrew Ng's slides from Coursera?
I am using the cross-entropy cost function to calculate its derivatives using different variables $Z, W$ and $b$ at different instances. Please refer image below for calculation.
As per my knowledge, ...
1
vote
0answers
168 views
How get matrix of word embeddings in FastText of gensim?
I try get the matrix embedding of my model but I can't because although this code gives no error it never ends running. The code is:
...
2
votes
2answers
84 views
How can I perform lossless compression of images so that they can be stored to train a CNN?
I have a set of images, which are quite large in size (1000x1000), and as such do not easily fit into memory. I'd like to compress these images, such that little information is missing. I am looking ...
