"learning methods" trang 1 - tải miễn phí từ tailieuXANH
Ebook Introduction to machine learning (2nd edition): Part 1

Ebook Introduction to machine learning (2nd edition): Part 1
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Lecture Machine learning (2014-2015) - Lecture 10: Max-margin learning

Lecture Machine learning (2014-2015) - Lecture 10: Max-margin learning
30    73    0
Noisy image classification using hybrid deep learning methods

Noisy image classification using hybrid deep learning methods
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Evaluating results of trial application of some clinical teaching - Learning methods for medical students of Haiphong University of Medicine and Pharmacy

Evaluating results of trial application of some clinical teaching - Learning methods for medical students of Haiphong University of Medicine and Pharmacy
8    71    0
The research: An investigation into the impact of extrinsic motivation on the process of learning English of students at some high schools in Hue

The research: An investigation into the impact of extrinsic motivation on the process of learning English of students at some high schools in Hue
139    151    1
Lecture Machine learning (2014-2015) - Lecture 12: Reinforcement learning

Lecture Machine learning (2014-2015) - Lecture 12: Reinforcement learning
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Survey characteristics of learning community to support learning at informal education

Survey characteristics of learning community to support learning at informal education
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Standard machine learning approaches outperform deep representation learning on phenotype prediction from transcriptomics data

Standard machine learning approaches outperform deep representation learning on phenotype prediction from transcriptomics data
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Generative learning methods for bags of features

Generative learning methods for bags of features
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Relationship between adoption of training methods learning outcome and organisational productivity

Relationship between adoption of training methods learning outcome and organisational productivity
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Lecture Machine learning (2014-2015) - Lecture 1: Introduction

Lecture Machine learning (2014-2015) - Lecture 1: Introduction
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Lecture Machine learning (2014-2015) - Lecture 02: Linear prediction

Lecture Machine learning (2014-2015) - Lecture 02: Linear prediction
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Lecture Machine learning (2014-2015) - Lecture 3: Maximum likelihood

Lecture Machine learning (2014-2015) - Lecture 3: Maximum likelihood
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Lecture Machine learning (2014-2015) - Lecture 4: Nonlinear ridge regression risk, regularization, and cross-validation

Lecture Machine learning (2014-2015) - Lecture 4: Nonlinear ridge regression risk, regularization, and cross-validation
28    62    0
Lecture Machine learning (2014-2015) - Lecture 5: Optimisation

Lecture Machine learning (2014-2015) - Lecture 5: Optimisation
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Lecture Machine learning (2014-2015) - Lecture 6: Logistic regression: a simple ANN

Lecture Machine learning (2014-2015) - Lecture 6: Logistic regression: a simple ANN
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Lecture Machine learning (2014-2015) - Lecture 7: Backpropagation: A modular approach (Torch NN)

Lecture Machine learning (2014-2015) - Lecture 7: Backpropagation: A modular approach (Torch NN)
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Lecture Machine learning (2014-2015) - Lecture 8: Neural networks

Lecture Machine learning (2014-2015) - Lecture 8: Neural networks
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Lecture Machine learning (2014-2015) - Lecture 9: Convnets

Lecture Machine learning (2014-2015) - Lecture 9: Convnets
17    75    0
Lecture Machine learning (2014-2015) - Lecture 11: Recurrent nets and LSTM

Lecture Machine learning (2014-2015) - Lecture 11: Recurrent nets and LSTM
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