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New posts in machine-learning

Neural network generating incorrect results that are around the average of outputs

python machine-learning neural-network keras

Wrapper Methods for feature selection (Machine Learning) In Scikit Learn

python-2.7 machine-learning feature-selection

scikit-learn - Convert pipeline prediction to original value/scale

python machine-learning scikit-learn keras data-science

Faster-RCNN, why don't we just use only RPN for detection?

machine-learning computer-vision object-detection

semantic segmentation for large images

machine-learning tensorflow computer-vision deep-learning caffe

What is the relation between NEAT and reinforcement learning?

machine-learning artificial-intelligence difference reinforcement-learning evolutionary-algorithm

How can I use tensorflow metric function within keras models?

python tensorflow machine-learning neural-network keras

How to convert string labels to one-hot vectors in TensorFlow?

python machine-learning tensorflow

Logistic regression on One-hot encoding

python pandas machine-learning regression one-hot-encoding

Keras -- Input Shape for Embedding Layer

python machine-learning neural-network keras

Weighted Training Examples in Tensorflow

machine-learning tensorflow statistics neural-network

How to train a model in tensorflow using java

java machine-learning tensorflow artificial-intelligence

Advantage of using experiments in TensorFlow

python tensorflow machine-learning deep-learning tensorflow-estimator

Catboost: what are reasonable values for l2_leaf_reg?

machine-learning boosting catboost

scikit learn: custom classifier compatible with GridSearchCV

python machine-learning scikit-learn

Text Extraction from image after detecting text region with contours

python opencv image-processing machine-learning computer-vision

1d CNN audio in keras

python machine-learning neural-network deep-learning keras

Keras MSE definition

python machine-learning neural-network deep-learning keras

XGboost model consistently obtaining 100% accuracy?

r machine-learning statistics cross-validation xgboost

Why "softmax_cross_entropy_with_logits_v2" backprops into labels

tensorflow machine-learning neural-network cross-entropy
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