Mnist Digit Recognizer Cnn Keras 99.66
Used the Dataset "MNIST Digit Recognizer" on Kaggle. Trained Convolutional Neural Networks on 42000 Training Images and predicted labels on 28000 Test Images with an Validation Accuracy of 99.52% and 99.66% on Kaggle Leaderboard.
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Data Science Ipython Notebooks | 25,668 | 6 months ago | 34 | other | Python | |||||
| Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines. | ||||||||||
| Pytorch Handbook | 18,594 | 9 months ago | 52 | Jupyter Notebook | ||||||
| pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行 | ||||||||||
| Handwritingrecognition Cnn | 89 | 7 years ago | 2 | Python | ||||||
| This CNN-based model for recognition of hand written digits attains a validation accuracy of 99.2% after training for 12 epochs. Its trained on the MNIST dataset on Kaggle. | ||||||||||
| Kannada_mnist | 69 | 4 years ago | Jupyter Notebook | |||||||
| The main repository for the Kannada MNIST dataset | ||||||||||
| Mnist | 50 | 7 years ago | mit | Jupyter Notebook | ||||||
| Machine Learning analyses of the MNIST database of handwritten digits | ||||||||||
| Kaggle For Fun | 38 | 7 years ago | 4 | Python | ||||||
| All my submissions for Kaggle contests that I have been, and going to be participating. | ||||||||||
| Digit_recognizer | 27 | 3 years ago | mit | Jupyter Notebook | ||||||
| CNN digit recognizer implemented in Keras Notebook, Kaggle/MNIST (0.995). | ||||||||||
| Nolearn_utils | 21 | 7 years ago | 6 | Jupyter Notebook | ||||||
| Utilities for nolearn.lasagne | ||||||||||
| Sign_language_mnist | 15 | a year ago | apache-2.0 | Python | ||||||
| Tutorial for Vitis AI using the Sign Language MNIST | ||||||||||
| Mnist Digit Recognizer Cnn Keras 99.66 | 11 | 6 years ago | mit | Jupyter Notebook | ||||||
| Used the Dataset "MNIST Digit Recognizer" on Kaggle. Trained Convolutional Neural Networks on 42000 Training Images and predicted labels on 28000 Test Images with an Validation Accuracy of 99.52% and 99.66% on Kaggle Leaderboard. | ||||||||||
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