machine-learning

machine-learning

How to enforce rules like move legality in chess at the output of a neural network? [closed]

Why does Keras not generalize my data?

keras autoencoder "Error when checking target"

Adding an additional value to a Convolutional Neural Network Input? [closed]

Predicting probabilities in classfier tensorflow

would we ever compute the cost J(θ) on the *test* set?

Which layers in neural networks have weights/biases and which don't?

Convolutional Neural Network with Logarithmic and Exponential activation functions

Are some data sets just not predictive?

How to use tf.nn.crelu in tensorflow?

Why won't my trivial LSTM overfit?

TF-IDF extracting keywords

Assigning labels to HOG features for training an SVM classifier

Keras error in Dense layer, expected 4 dimensions got array with shape (1024,2) [duplicate]

Tensorflow multi-GPU MNIST classifier: low accuracy

Error in making train - test sets from iris data by sklearn.train_test_split()

How does one calculate Mean Squared Error for a multivarite linear regression using Accord.NET?

Recursive Feature Elimination (RFE) SKLearn

What type of neural network should I use? [closed]

ML method to identify data subset with lower average values

How backpropagation through gradient descent represents the error after each forward pass

Mapping a Plant with Machine Learning

Random Forest classifier class_weight

How specific should a Support Vector Machine Model be?

How to detemine learning rate during training neural network?

Does a random forest randomly sample the data for each tree?

tf.shape() returns a 2-d tensor instead of 1-d

How to train a model to detect an event in a time line sequence of data [closed]

What is different between RNN output and rule based output?

Tensorflow Dimension size must be evenly divisible by N but is M for 'linear/linear_model/x/Reshape'

Wrong predictions with own MNIST-like image data in trained CNN model

Tensorflow: Variable rnn/basic_lstm_cell/kernel already exists, disallowed

For deep learning, With activation relu the output becomes NAN during training while is normal with tanh

Tensorflow single sigmoid output with log loss vs two linear outputs with sparse softmax cross entropy loss for binary classification

why using support vector machine?

Validation accuracy does not make sense

Default initial value for weights

How to interpret weight distributions of neural net layers

How can i get precision & recall instead of accuracy in Tensorflow

Why is a feature good for distinguishing a cluster?

What is the difference between an Embedding Layer and a Dense Layer?

In tensorflow, how to make any entry >0.5 becomes 1 in a tensor?

Why doesn't model.predict() work well on novel MNIST-like input?

increase accuracy of model in sklearn

Cluster Analysis for crowds of people

Questions about feature vector of a tweet in a Twitter Sentiment Analysis Task.

Is it possible to overfit on 250,000 examples in a few epochs?

Why is xgboost so slow when you have a large number of classes?

Low loss and high val_loss that decreases

KMeans clustering in PySpark

Error:No space left on device in Kaggle Notebook

Race condition when using tf.assign in Tensorflow

Creating a wordvector model combining words from other models

Decision Tree Uniqueness sklearn

How to add constraint to reinforcement learning (Q-learning)

tensorflow batch normalization leads to high test loss

Using SVM to predict text with label

Scikit Decision tree categorical features

Some questions about SAMME.R

Keras Warning on_batch_begin

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