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# Data Parallelism
Data parallelism replicates the model on every device to generates gradients independently and then communicates those gradients at each iteration to keep model replicas consiste…
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### Is your feature request related to a problem? Please describe.
Currently, our page doesn't have crop disease detection
### Describe the solution you'd like.
We can create a machine learning mod…
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### 🐛 Describe the bug
Issue Summary:
During the evaluation of the acos function across different deep learning frameworks, we observed that PyTorch produced significantly different results comp…
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To help @llSourcell fix Git logs, the current [`config.json`](https://github.com/git-utilities/fix_logs/blob/master/config.json) file contains entries similar to...
> Update notice, `57` reposito…
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hello, I modified the code to run with python3 and it can run, but I can't get the same precision you mentioned in the paper, the precision just was 50%, when I adjust the learning rate the precision…
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Thanks for the amazing work
I am having issue regarding network learning. My NASNet model ain't learning. Training accuracy is improving but validation accuracy isn't changing and stuck at 0.4194.
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### *Project idea 3: Research about deploying LLM with Jina*
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```
pratyush@pratyush-GS65-Stealth-Thin-8RF:~/dev/chess-alpha-zero$ python src/chess_zero/run.py self
2018-11-08 19:17:05,638@chess_zero.manager INFO # config type: mini
Using TensorFlow backend.
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import tensorflow as tf
from tensorflow.keras.layers import Layer, Input, Conv2D, MaxPooling2D, Flatten, Dense, Dropout, BatchNormalization
from tensorflow.keras.models import Sequential
from tenso…