machine-learning

machine-learning

LSTM: choice of batch size when State reused for generation later

Sequence learning with discrete/categorical output available to the objective function

Do I need merge training and validation set together to train for testing set?

What does it mean physically when a distribution is in exponential family

Model that predict both categorical and numerical output

Why not train for partial epochs?

Accuracy increases but remains constant for many epochs

Is it normal to get big error in backpropagation neural network when I using the same data training and data test?

Require a method or library that convert word to vector directly

Use Generative model or discriminative model?

How to tune Sklearn's RandomForest? max_depth Vs min_samples_leaf

How to remove a percentage from a dataset in Weka but keep the class balance?

XGB via Scikit learn API doesn't seem to be running in GPU although compiled to run for GPU

How does ZeroPadding2D layer compute?

Sklearn LabelEncoder throws TypeError in sort

Error: import graphlab

What are the basic steps for training a model?

Cannot copy param 0 weights from layer 'conv4_3_norm_mbox_loc'

Why would anyone need TensorFlow's IdentityReader?

TensorFlow classification does not match actual output

Freezing some layers in Keras has slower training time

Is it possible to use libsvm for multilabel regression problems

Map series of vectors to single vector using LSTM in Keras

Tensorflow: Visualizing trained weights for linear classifier on MNIST dataset

List still being treated as a set even after converting

What is the difference between tf.estimator.Estimator and tf.contrib.learn.Estimator in TensorFlow

How to convert a single word into vector for neural network input

Multiclass-classification of stages in colorectal cancer data

What machine learning model would be best for this use case?

Does Keras add any delay/overhead compared to pure TensorFlow?

ModuleNotFoundError: No module named 'tensorflow' how to fix this?

how to tackle when text data as a feature and the label to be predicted is a number ?

Bayesian linear regression in WEKA

Policy Iteration vs Value Iteration

neural networks for missing features

How to extend sample size from true population

Machine learning applied to geometry

Feed on a Tensorflow Estimator

MachineLearning or DecisionTree for job matching?

Binary quantization

When to stop training in caffe?

Cannot create keras model while using flow_from_directory

Perform the validation loss from .caffemodel?

Caffe how to scale and set mean for the same dataset in prototyp

Padding time-series subsequences for LSTM-RNN training

I have a classification project where some of the columns/features have more than 90% null values. How do I handle them?

Multiple sensors = multiple deep learning models?

No gradients provided for any variable

How to implement Mini Batch Kmeans using apache spark MLlib?

How do I do binary image classification using ImageJ?

model.predict_classes vs model.predict_generator in keras

Testing accuracy more than training accuracy

How can we compare the decision trees algorithm performance in terms of accuracy from scikit-learn and from Spark ML?

The dark mystery of tensorflow and tensorboard using cross-validation in training. Weird graphs showing up

Are epochs and training steps the same thing?

Multi dimensional input for LSTM in Keras

Artificial Neural Network Toplogy

How to load only specific weights on Keras

How to convert Euclidean distance to range 0 and 1 like Cosine Similarity?

Tensor: what is it and how is it different from a vector?

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