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Oct 27, 2021 · An overview of deep learning: everything from the basics of neural networks to advanced techniques, limitations, and practical applications.
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Oct 11, 2019 · Is a technique that has exploded into the mainstream of AI and machine learning research over the past five years. It consists of artificial ...
KNN classification. Random Forest. Boosting, Bagging. ROC curve, AUC. X-validation. Regularization. Decision Tree. Overfitting. Loss function.
Dec 2, 2022 · It is a complex branch of machine learning that consists of neural networks and other advanced algorithms, which provide computers with the ...
Model learns from data, extracts patterns, and makes some 'prediction'. ○ Learning can be supervised, unsupervised, or semi-supervised. ○ Various type of ...
Deep learning is a part of machine learning that focuses on artificial neural networks which is inspired by the working of the human brain to process ...
Jun 15, 2020 · An overview of the structure and working for Neural Networks, and Deep Learning. How it improves over traditional Machine Learning(ML) ...
May 11, 2023 · A basic neural network has two or three layers. One that has at least two layers — which adds some complexity — is technically a deep neural ...
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Posted: Jan 8, 2024
Posted: Jan 8, 2024
Jul 10, 2023 · Deep Learning (DL) is a subset of neural nets that involves the use of multiple layers of interconnected neurons, also known as nodes. The “deep ...