Comments (4)
Same issue here, for anyone looking how to downgrade, run the following command if you're using anaconda:
conda install matplotlib=2.0.0
Again, sad to see no response from udacity. Not the first issue without response I encounter.
from deep-learning.
Why is the code not working with latest matplotlib ?
from deep-learning.
I used this for now, just a hack, though :(
mnist_images = helper.get_batch(glob(os.path.join(data_dir, 'mnist/*.jpg'))[:show_n_images], 28, 28, 'RGB')
pyplot.imshow(helper.images_square_grid(mnist_images, 'RGB'))
from deep-learning.
The code currently works only on the versions mentioned in the requirements.txt or the ones provided with the .yml file. I understand that some of them are now deprecated. We are working on updating the code and requirements to match the latest versions.
from deep-learning.
Related Issues (20)
- First neural network has deprecated code HOT 2
- Missing %matplotlib inline HOT 1
- Minor typo in weight_initialization.ipynb HOT 2
- "Anna_KaRNNa.ipynb": Transferring state between epochs - possible error HOT 1
- Project-3 - test_build_nn fails with Tensorflow 1.3 HOT 2
- RegressionSolutions.ipynb HOT 3
- Intro to Tensorflow Lab: Tensorflow version not importing HOT 1
- Conda env issue HOT 2
- `get_dummies` function in numpy ? (StudentAdmissions.ipynb) HOT 4
- dlnd_face_generation.ipynb MNIST explore Data cell doesn't seem to work with one color channel HOT 1
- no requirement.txt in autoencoder folder HOT 2
- Weight Issue in sentiment-network/Sentiment_Classification_Solutions.ipynb HOT 1
- Issue while importing the library. HOT 2
- How to make calculation regarding precision/recall and F1 score? need help HOT 1
- Wrong calculation in gradient descent HOT 2
- UnicodeDecodeError: 'utf-8' codec can't decode byte 0xe9 in position 84: invalid continuation byte HOT 2
- Issues in student_admissions HOT 2
- Learning HOT 1
- error_term_formula equation in studentadmissions.ipynb incorrect
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from deep-learning.