machine-learning

machine-learning

How do I create non fully connected layers in skflow?

Noise injection to the weights in MLP

Machine learning shape and type

Why doesn't my neural network Q-learner doesn't learn tic-tac-toe

Getting Granular Data from Google Analytics to enable Machine Learning applications

Is it necessary to normalize/standardize data in machine learning?

machine learning training data structure

Is there any concrete example of the local local minima for MLP?

Accent detection API?

Store textual dataset for binary classification

Why the VC dimension of 2D perceptron is 3?

Approach to Sentence similarity algorithm

Equal Training and Testing Score for Feed-Forward Neural Network

How to share gradients and variables in Adam optimizer when using bucketing in Tensorflow?

Cross Validation is Feature Selecting in Classification

scikit learn: How to include others features after performed fit and transform of TFIDFVectorizer?

In an input layer, what is the difference between input_dim and the number of nodes on the input layer?

Does logistic regression always find global optimum, assuming that the optimisation converges?

Clustering K-means algorithm for elongated data set

How can I train a naivebayes classifier incrementally?

Feed a complex-valued image into Neural network (tensorflow)

Classification LDA vs. TFIDF

Effect of Data Parallelism on Training Result

How to decode from scikit-learn embedding?

Inputs and Outputs for Neural Turing Machine Copy Task

Training Multi-GPU on Tensorflow: a simpler way?

pyBrain using letters as input

How can we develop weak classifier/learner in C# for IRIS/any dataset?

Which classifier should I use for game automation? [closed]

What kind of data stored in pre-trained model, such as caffe model zoo?

In what format should the input into a sequence to sequence learning model using RNNs be in?

How neural net extract features

learning curve and validation curve in neural network

Using a placeholder as a tensorflow Variable (getting Error!)

Suggest using Kfold splits or validation_split kwarg in Keras Training?

How to evaluate the performance of facial recognition library?

Features of vector form of sentences for opinion finding.

What is the difference between a feature and a label? [closed]

What is meant by end-to-end fashion convolutional neural network(CNN)?

Image similarity detection with TensorFlow

what are methods for comparing documents

Why does one not use IOU for training?

Skewed class and Imbalanced class in machine learning

RNN classification constantly output the same value

Can categorical information improve prediction for out-of-sample categories?

What's the difference between optimizer.compute_gradient() and tf.gradients() in tensorflow?

Sparse autoencoder for Weka

Machine Learning: Why xW+b instead of Wx+b?

What does Caffe Train/Test net output mean?

Should batch size matter at inference

Machine Learning - AdaBoost the best standalone algorithm

Wondering which percentage below it we can say the class is not balanced?

How can I use one-hot encoded labels with some sklearn classifiers?

caffe loss is nan or 0

Does it make sense to interrogate structured data using NLP?

Training error and validation error are the same - zero accuracy during training

Multinomial Naive Bayes in Text Classification

Gradients in deepdream

Accuracy reported by caffe and pycaffe are different

Poor performance on digit recognition with CNN trained on MNIST dataset

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