dataset.py model.py requirement.txt test.py train.py Repository files navigation README Apache-2.0 license classification-torch A simple demo of implementing cat and dog classification 这个项目是一个简单的使用resnet18实现猫狗分类的例子,主要学习:1)是神经网络实现分类的原理 2)了解模型优化流程...
It is important to get ahigh-level feeling (qualitative) of your dataset along with a fine-grained analysis (quantitative). If you are working with a public dataset, someone else might have already dived into the data and reported their analysis (it is quite common in Kaggle...
In competitions, such as ones found onKaggle, the competitor receives the training set (labeled data) and test set (unlabeled data). This can be a good place to test pseudo-labeling. Thedatasetwe will use is from theMercedes-Benz Greener Manufacturing competition– the goal is the predict th...
In this paper we consider several approaches to the problem of sound classification that we applied in TensorFlow Speech Recognition Challenge organized by Google Brain team on the Kaggle platform. Here we show different representation of sounds (Wave frames, Spectrograms, Mel-Spectrograms, MFCCs) ...
Let’s start with a simple and very easy multi-class classification dataset, theIris dataset, and compare performances of Scikit-learn’sSGDClassifierwith the Amazon Machine Learning multi-class classification . The SGDClassifier is set up similarly to the Amazon Machine Learning SGD parameters: ...
Step 4: Use this augmented dataset, now for training, and use this model. As we are using the unsupervised data to augment the training data for supervised learning, this comes somewhere in between and hence the name semi-supervised.
After removing the blurred and duplicated images from the dataset using a numerical threshold, the trained model achieved specificity and sensitivity values0.98 in the identification of DR retinas. For severity grading, the classification accuracy values of 0.84, 0.95, and 0.98 were recorded for the ...
深度学习10分类自定义数据集_deep-learning-ten-classes-dataset-10-.zip 2024-12-26 07:20:12 积分:1 文本分类不同数据集不同demo_MLTextClassifcation.zip 2024-12-26 07:09:07 积分:1 通过Xgboost实现UCI蘑菇数据集分类,AUC达到1.0_UciMushroomClassification.zip 2024-12-26 07:04:30 积分:1 ...
How would a random predictor perform (especially in classification problems)? Dataset can be unbalanced… What would the loss look like for a random predictor? What is (are) the best metric(s) to measure progress on my task? What are the limits of this metric? If it’s pe...
How would a random predictor perform (especially in classification problems)? Dataset can be unbalanced… What would the loss look like for a random predictor? What is (are) the best metric(s) to measure progress on my task? What are the limits of this metric? If it’s pe...