text-classification-cnn-rnn VS Playing-Cards-Classification-TensorFlow-CNN

Compare text-classification-cnn-rnn vs Playing-Cards-Classification-TensorFlow-CNN and see what are their differences.

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text-classification-cnn-rnn Playing-Cards-Classification-TensorFlow-CNN
1 1
4,084 0
- -
0.0 10.0
about 2 months ago over 1 year ago
Python Jupyter Notebook
MIT License -
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text-classification-cnn-rnn

Posts with mentions or reviews of text-classification-cnn-rnn. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-10-19.

Playing-Cards-Classification-TensorFlow-CNN

Posts with mentions or reviews of Playing-Cards-Classification-TensorFlow-CNN. We have used some of these posts to build our list of alternatives and similar projects.
  • 42069 😳
    1 project | /r/GalaxyWatch | 6 May 2023
    yeah, i was uploading my TensorFlow Lite model lol https://github.com/0xN1nja/Playing-Cards-Classification-TensorFlow-CNN

What are some alternatives?

When comparing text-classification-cnn-rnn and Playing-Cards-Classification-TensorFlow-CNN you can also consider the following projects:

gluon-nlp - NLP made easy

One-Piece-Image-Classifier - A quick image classifier trained with manually selected One Piece images.

Food-Recipe-CNN - food image to recipe with deep convolutional neural networks.

tutorial-face-mask-detection - In this project, we develop a pipeline to detect unmasked faces in images. This can, for example, be used to alert people that do not wear a mask when entering a building.

face-mask-detection - In this project, we develop a pipeline to detect unmasked faces in images. This can, for example, be used to alert people that do not wear a mask when entering a building. [Moved to: https://github.com/datarootsio/tutorial-face-mask-detection]

blog-tpi-jupyter - Terraform Provider Iterative + Jupyter + TensorBoard + AWS/Azure/GCP/K8s

YPDL-Build-a-movie-recommendation-engine-with-TensorFlow - In this tutorial, we are going to build a Restricted Boltzmann Machine using TensorFlow that will give us recommendations based on movies that have been watched already. The datasets we are going to use are acquired from GroupLens and contains movies, users, and movie ratings by these users.

labml - 🔎 Monitor deep learning model training and hardware usage from your mobile phone 📱