A Step-by-Step Tutorial on Classifying Handwritten Digits Using CNN
4:21
YouTubeMorteza
A Step-by-Step Tutorial on Classifying Handwritten Digits Using CNN
In this video, we classify grayscale images of handwritten digits into their 10 categories (0 through 9). We’ll use the MNIST dataset for this purpose. Use the following link to access the code: https://github.com/mortezmaali/Image_classfication_CNN.git
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SOLVED: Using MLPClassifier to classify MNIST fashion - Evaluate misclassified predictions and accuracy. Show the confusion matrix and Classification report. Send python code (.ipynb) and report (.pdf). Dataset: https://www.kaggle.com/datasets/zalando-research/fashionmnistUsing MLPClassifier to classify MNIST fashion - Evaluate misclassified predictions and accuracy. Show the confusion matrix and Classification report. Send python code (.ipynb) and report (.pdf). Dataset: https://www.kaggle.com/
SOLVED: Using MLPClassifier to classify MNIST fashion - Evaluate misclassified predictions and accuracy. Show the confusion matrix and Classification report. Send python code (.ipynb) and report (.pdf). Dataset: https://www.kaggle.com/datasets/zalando-research/fashionmnistUsing MLPClassifier to classify MNIST fashion - Evaluate misclassified predictions and accuracy. Show the confusion matrix and Classification report. Send python code (.ipynb) and report (.pdf). Dataset: https://www.kaggle.com/
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