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New posts in machine-learning

Sequence labeling in Keras

machine-learning deep-learning keras lstm recurrent-neural-network

Discrete Weights and Activations in Tensorflow or Keras

tensorflow machine-learning keras neural-network deep-learning

how to fit and score a machine learning models in Java/JVM based application

java machine-learning scikit-learn h2o pmml

Neural Networks for hexagon-shaped (and binned) images?

image-processing machine-learning autoencoder hexagonal-tiles

Does a dataset need to be a normal distribution for every parameter?

machine-learning

Multi-layered bidirectional_dynamic_rnn: incompatible with MultiRNNCell?

python machine-learning tensorflow

How to predict desired class using Naive Bayes in Text Classification

python machine-learning text-classification naivebayes

How to replace the DataField values with exact column names in Spark-MLlib PMML file?

apache-spark machine-learning linear-regression apache-spark-mllib pmml

extending NLP entity extraction

python machine-learning nlp polyglot named-entity-extraction

Right approach to find similar products solely based on content and not on user history using machine learning algorithms

machine-learning similarity tf-idf svd predictionio

How can I parallelize fitting a gradient boosting model with sklearn?

python machine-learning scikit-learn

Random Forest Regression for categorical inputs on PySpark

string machine-learning pyspark one-hot-encoding

Black & white image document clustering

python opencv machine-learning computer-vision cluster-analysis

Scikit-learn: scoring in GridSearchCV

machine-learning cross-validation optimization scikit-learn

Trying to get machine learning lib set up on a 290X

machine-learning tensorflow arrayfire amd-gpu

Tensorflow 1.8.0: Wide and Deep Model results are not stable. Random seed is not working

python tensorflow machine-learning deep-learning

CNN training accuracy stagnates with BatchNorm, quickly overfits without

python machine-learning keras deep-learning conv-neural-network

tf.gradients() sums over ys, does it?

python python-3.x tensorflow machine-learning gradient-descent

tf-slim batch norm: different behaviour between training/inference mode

tensorflow machine-learning deep-learning batch-normalization tf-slim
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