-
I have updated my model to use a dataset to train it in batches. Before I did that (and didn't use mini-batches) the model worked great and the backpropogation was training my network, getting it to r…
-
Edward Ma. [A Gentle Introduction to Meta-Learning](https://pub.towardsai.net/a-gentle-introduction-to-meta-learning-8e36f3d93f61).
-
Like previously stated in issue #511 Keras runs into not a number losses while training on GPU.
Tested this with the mnist_cnn example code aswell as with self designed conv networks. I also tried to …
-
Hi, I tried your package on ICLR2023 with the keyword "disentangling" but the paper "Continual Unsupervised Disentangling of Self-Organizing Representations" is not returned, which seems wrong. The pa…
-
貼吧活動:(請查閱 [SARS-CoV-2 Timeline by 2020.02.21](https://github.com/agorahub/_meta/blob/agoran/theagora/sari/Memorandum_2020-02-21_SARS-CoV-2-Timeline_Nathan.pdf?raw=true), by Nathan :cloud: )
- Colla…
-
**Which module is related to your feature request?**
Scheduler/Optimizer
**Is your feature request related to a problem? Please describe.**
Here I will post all my ideas (new formulas) to improve…
-
In the following line, I believe the penalty should be multiplied by the relative batch size (batch size / dataset size) such that the expectation of the stochastic gradient evaluated at the same para…
-
I got this error:
```
Traceback (most recent call last):
File "/home/miranda9/miniconda3/envs/meta_learning_a100/lib/python3.9/site-packages/learn2learn/algorithms/maml.py", line 159, in adapt
…
-
According to my understanding, the auto-aggressive LSTM model needs to be trained 'stateful' in batches. More precisely, the LSTM hidden states in batch N need to be passed to batch N+1. How did you t…
-