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IBM / adversarial-robustness-toolbox

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Descriptive names for targeted attacks

1
ebubae
ebubae commented Feb 19, 2020

Is your feature request related to a problem? Please describe.
When generating generating targeted attacks the method arguments generate(x, y=None) can be confusing. In this case y usually refers to the target label for the attack, but users may accidentally put the correct label there, rendering the attack ineffective.

Describe the solution you'd like
Maybe we should change that

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improvement

kk7nc / Text_Classification

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Text Classification Algorithms: A Survey

deep-learning random-forest text-classification recurrent-neural-networks naive-bayes-classifier dimensionality-reduction logistic-regression document-classification convolutional-neural-networks text-processing decision-trees boosting-algorithms support-vector-machines hierarchical-attention-networks nlp-machine-learning conditional-random-fields k-nearest-neighbours deep-belief-network rocchio-algorithm deep-neural-network
  • Updated Apr 8, 2020
  • Python

hollance / TensorFlow-iOS-Example

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hello!it's me again, thanks for the guide u gave me before and I fixed that bug,but I met another problem!

5
crissallan
crissallan commented Mar 20, 2017

crissallandeMacBook-Pro:~ crissallan$ python3 train.py
Training set size: (2217, 20)
W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE4.1 instructions, but these are available on your machine and could speed up CPU computations.
W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE4.2 instruction

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Madhu009 / Deep-math-machine-learning.ai

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A blog which talks about machine learning, deep learning algorithms and the Math. and Machine learning algorithms written from scratch.

machine-learning natural-language-processing deep-neural-networks tensorflow word2vec linear-regression q-learning neural-networks reinforcement-learning-algorithms sarsa logistic-regression gans support-vector-machines policy-iteration value-iteration gradient-descent-algorithm monte-carlo-methods temporal-differencing-learning general-adversarial-network
  • Updated Mar 15, 2019
  • Jupyter Notebook

arnaldog12 / Machine_Learning

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Estudo e implementação dos principais algoritmos de Machine Learning em Jupyter Notebooks.

python machine-learning neural-network naive-bayes linear-regression machine-learning-algorithms regression feature-selection logistic-regression kmeans adaboost decision-trees polynomial-regression knn principal-component-analysis redes-neurais-artificiais linear-discriminant-analysis multilinear-regression
  • Updated Mar 21, 2019
  • Jupyter Notebook

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