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2.4: The Softmax Activation Function and Multinomial Logistic Regression

2.3 Logistic Regression and Comparison with Perceptron/Widrow-Hoff/SVM

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1.3 Activation and Loss Functions

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2.6 Singular value decomposition with an autoencoder

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2.8: Word2Vec: The Skip Gram Model and Connections to Recommender Systems

Kmeans Clustering

6.1 Restricted Boltzmann Machines

1.1 An Introduction to Neural Networks

4.1 Model Generalization and the Bias-Variance Trade-Off

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8.2 Backpropagation and Gradient-Based Visualization in Convolutional Neural Networks

9.2 Value Function Learning and Q-Learning [Temporal Difference/TD-Learning]

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5.1 Radial Basis Function Networks

إلى طلابنا في حاسبات ومعلومات - تعليم الآلة - 2 - [Machine Learning - The Big Picture]

9.1 Deep Reinforcement Learning: The Basics