machine-learning

machine-learning

Is there any example to teach a machine understanding how to count with artificial nueral network?

Is reinforcement learning suitable for predicting bias in dice?

training data using one hot encoding gives results of coefficients more than the actual column

Whats the output for Keras categorical_accuracy metrics?

Is it possible to cluster data with grouped rows of data in unsupervised learning?

How can I build a data science Game like Kaggle

Librosa help to read the audio file but in my case when I give input to the file name its shows run time error path not found

Pair wise Ranking for Images

Incompatible train and label data shape for ConvLSTM

Understanding Polynomial Regression Equation with multiple Independent Variable

Monitoring val_loss while training

Usage of Fully Connected layer

Firebase MLKit text recognition not recognising numbers in specific cases

Learning the loss weights as they were parameters

could not broadcast input array from shape (7,3) into shape (32,3) in Deep learning Studio Deep cognition

How to convert bounding box (x1, y1, x2, y2) to YOLO Style (X, Y, W, H)

Transfer learning with CNTK and pre-trained ONNX model fails

Using embeddings for non-language concepts?

how does BLEU score works ? . And how does it differ from the simple Jaccard score based similarity prediction

Neural Networks For Generating New Programming Language Grammars

NLP Text classification Based on User comments

Interactive learning [closed]

Reinforcement learning - apply Q-learning to schedule truck departure time to optimize parcel delivery

Is the a way of getting the degree of positiveness or negativeness when using Logistic Regression for sentiment analysis

how to select model if there are multiple models with same or close validation errors

Performance measure for classification problem with unbalanced dataset

filters in depth-wise vs regular convolutional neural networks

Understanding embedding vectors dimension

Drawing a Mcculloch-Pitts-Neuron that expresses (x1andx2)orx3

How to generate noise free data by training on clean data?

How to Build a Decision tree Regressor model

Is softmax used when only the most probable class will be used?

Feature Selection Process For Regression

Vowpal Wabbit: Cannot retrieve latent factors with gd_mf_weights from a trained --rank model

Optimize deep Q network with long episode

How exactly do you compute the gradients for the filters in a convolutional neural network?

torch.optim.SGD in PyTorch results in NaN

Is Naive Bayes biased?

Why does the gated activation function (used in Wavenet) work better than a ReLU?

Training a model to tell if it's an actual credit card/ driver's license vs image on a screen/ photocopy, etc

How to handle multiple values of features in a particular record in machine learning?

How to find the values for several variables so that a function returns highest value

What variable parameters should be considered to predict solar output at a particular location

Using Machine Learning for Price Prediction

The number of epochs used in an autoencoder depends on the dimension of the dataset?

How can I one-hot encode the data which has multiple same values for different properties?

What's the major difference between glove and word2vec?

RandomForestRegressor model evaluation?

Need help choosing loss function

How machine know which step can get max reward?

How to determine the number of node in hidden layer in a BP network when there are dummy variables

Is a linear stack of layers equal to multilinear regression?

How are filters in a convolutional neural network trained through backpropagation?

What is K Max Pooling? How to implement it in Keras?

Document repetitiveness algorithm

Understanding how many hidden layer in given LSTM model

What is a multi-headed model? And what exactly is a 'head' in a model?

argmax from probability distribution better policy than random sampling from softmax?

Finding human speech/word in long audio. Which is good STFT or MFCC for feature extrection. And also which algorithm is preferable..CNN ,SVM?

How to improve accuracy of model in deep learning LSTM algorithm?

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