machine-learning

machine-learning

Tensorflow words to number

Correct way to split data to batches for Keras stateful RNNs

Proper way to make prediction with Keras model trained with ImageDataGenerator

Can someone explain the train function in cifar10_train.py from cifar10 tutorials in tensorflow

How do we calculate the growth function for the learning model made up of two concentric circles in R^2?

How do we use LSTM to classify sequences?

How to find the future tense of a word using stanford nlp

Using Augmented Data Images in Testing

How to know if the data can be classified in machine learning

Needed advice for an enjoyable AI in Buraco card game

What is the initial value of Embedding layer?

Categorical attributes to Sparse Matrix

Linear regression model accuracy is always 1.0 in tensorflow

Video classification using HDF5 in CAFFE?

Reading lines in parallel with Keras (GPU) [closed]

Load weights from URL

Machine Learning to output a string based on previous learnt combinations

Using DenseVector as input labels for PySpark random forest modelling

Keras simple RNN implementation

Tensorflow how pooling layer is connected to convolutional layer

Using Text Sentiment as feature in machine learning model?

How to tell if you can apply Machine Learning to a project?

Why is the training time of each epoch different heavily?

Should I use the same training set from one epoch to another (convolutional neural network)

Is there any dynamic neural network design which can handle increasingly changing output?

logistic regression cost function scikit learn

Best practice for processing percent change over a given timespan when some data points are 0?

Which machine learning algorithm do I need in this scenario? [closed]

Why does binary accuracy give high accuracy while categorical accuracy give low accuracy, in a multi-class classification problem?

Keras Tokenizer num_words doesn't seem to work

Classifying text that shows intention do do something in the future using NLP

Neuronal Network for 10 inputs and 10 outputs

How many and/or what criteria does CfsSubsetEvaluator use in selecting features in each step of cross-validation while doing feature selection?

Y intercept not changing in linear regression gradient descent

Predicting decision boundary on the basis of choosen hypothesis function

Linear Discriminant Analysis vs Naive Bayes

Is it a good practice to reduce a dataset to have a better PCA decomposition

Understanding code wrt Logistic Regression using gradient descent

Training accuracy increases aggresively, test accuracy settles

Training on MNIST, detecting sequences of numbers?

Handing high Cardinality features with supervised ratio and weight of evidence [closed]

Is there a layer in Caffe that can get an arbitrary sub block in a blob?

Consuming CNTK Model

How do I train CNN using unlabelled images?

Autoformat Text with Machine Learning

Have MXNet used Nvidia's NCCL library for multi-GPU communication?

replace missing values in categorical data

Unique true/false loss for every sample

tensorflow high false-postive rate

Tensorflow core

Why aren't my weights being updated?

How to predict data in aggregation for categorical ordinal variable in data mining with SQL developer?

What is "linear projection" in convolutional neural network [closed]

Cross-validation using Knime

seq2seq - Encoder backpropagation

Why does Tensorflow CNN use too much memory?

Keras pretrained Xception model always gives the prediction 'sewing_machine'

Looking at an H2o MOJO model, how can I figure out the datatypes of the training data it was trained on?

When true positives are rare

KNN algorithm, does the test points become training set?

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