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How does Keras calculate accuracy?
Last Updated: 19 February 2024
Answer: Keras calculates accuracy by comparing the predicted labels with the true labels, counting the proportion of correct predictions to total predictions.In Keras, acc...
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Machine Learning
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What is the difference between "equivariant to translation" and "invariant to translation"
Last Updated: 19 February 2024
Answer: Equivariant to translation means the output changes in a predictable way when the input is translated, while invariant to translation means the output does not cha...
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Machine Learning
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Machine Learning Algorithms for 2D Data?
Last Updated: 19 February 2024
Answer: Common ML algorithms for 2D data include K-Nearest Neighbours, Support Vector Machines, Decision Trees, and Convolutional Neural Networks.Machine learning algorith...
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What Is the Right Approach for Text-Classification Problems?
Last Updated: 19 February 2024
Answer: Preprocess text, select a suitable model (e.g., Naive Bayes, SVM, deep learning), train, evaluate, and iterate for optimization.Text classification is a pivotal ta...
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Is Overfitting a Problem in Unsupervised Learning?
Last Updated: 19 February 2024
Answer : Yes, overfitting can occur in unsupervised learning when the model captures noise or irrelevant details in the data instead of the underlying structure.Overfittin...
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Encoding Before vs After Train_Test_Split?
Last Updated: 19 February 2024
Answer: Encode after train_test_split to prevent data leakage and ensure the model generalizes well to unseen data.When preparing data for machine learning models, the tim...
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Machine Learning
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Convolution and Cross-Correlation in CNN
Last Updated: 19 February 2024
Answer: Convolution in CNN involves flipping both the rows and columns of the kernel before sliding it over the input, while cross-correlation skips this flipping step.The...
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Machine Learning
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What is the Difference Between Dilated Convolution and Deconvolution?
Last Updated: 21 February 2024
Answer: Dilated convolution increases the receptive field without introducing additional parameters, while deconvolution, or transposed convolution, is used for upsampling...
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Deep Learning
Machine Learning Questions
What are the Rules for Choosing the Size of a Mini-Batch?
Last Updated: 21 February 2024
Answer: The size of a mini-batch in training a neural network is chosen based on considerations such as computational efficiency, memory constraints, and the desired level...
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What is the Difference between a "Cell" and a "Layer" within Neural Networks?
Last Updated: 21 February 2024
Answer: In neural networks, a "cell" refers to the basic processing unit within a recurrent neural network (RNN), such as a long short-term memory (LSTM) cell, while a "la...
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Difference Between Fine-Tuning and Transfer Learning
Last Updated: 17 December 2025
Fine tuning and transfer learning both helps models to use what they have learned from one task to perform better on another task. While both might seem similar but they d...
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Embeddings in Machine Learning
Last Updated: 01 May 2026
In machine learning, embeddings are a way of representing data as numerical vectors in a continuous space. They capture the meaning or relationship between data points, so...
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