<we><edit> <!-- questions and answers -->
feature-scaling
predictive-modeling
reinforcement-learning
sentiment-analysis
reference-request
outlier
graphs
linear-regression
machine-learning
autoencoder
social-network-analysis
correlation
text-mining
neural-network
data-cleaning
normalization
career
decision-trees
computer-vision
evaluation
time-series
apache-hadoop
python
similarity
topic-model
deep-learning
What is LSTM, BiLSTM and when to use them?
machine-learning
deep-learning
data-mining
How to extract specific information from raw , unstructured text using NLP and Deep Learning?
deep-learning
nlp
named-entity-recognition
Does gradient descent always converge to an optimum?
machine-learning
deep-learning
gradient-descent
Classification of obfuscated text data
neural-network
deep-learning
text-mining
Autoencoder behavior with All White/Black MNIST
deep-learning
anomaly-detection
autoencoder
Adding Features To Time Series Model LSTM
machine-learning
neural-network
deep-learning
Help with the following error: Variable already exists, disallowed. Did you mean to set reuse=True in VarScope?
machine-learning
deep-learning
tensorflow
rnn
text-generation
Keras - no prediction probability for multiple output models?
machine-learning
python
deep-learning
keras
Input normalization for ReLu?
machine-learning
neural-network
deep-learning
activation-function
Recognition of Geometric shapes for ridges
machine-learning
deep-learning
computer-vision
Incorporate luck in statistical modelling
neural-network
r
deep-learning
regression
prediction
Using an autoencoder to mimic independent component analysis?
machine-learning
deep-learning
keras
autoencoder
Solving classification task with deep network
machine-learning
neural-network
classification
deep-learning
LSTM in R: How to interpret output?
neural-network
r
deep-learning
keras
lstm
Explain Binary Classification with output 0.5 (True)
machine-learning
classification
deep-learning
Point symmetric recurrent neural network
machine-learning
deep-learning
rnn
Some questions about GoogleNet paper
deep-learning
inception
NLP for appartement ads
machine-learning
python
classification
r
deep-learning
What it Would be easier Building a Deep Net From Scratch or Using an existing Architecture?
machine-learning
neural-network
deep-learning
convnet
computer-vision
Updating the weights of the filters in a CNN
machine-learning
neural-network
deep-learning
image-classification
cnn
Can dropout and batch normalization be applied to convolution layers
machine-learning
deep-learning
cnn
What is the purpose of untrainable weights in Keras
machine-learning
deep-learning
keras
Multi GPU in keras
python
deep-learning
tensorflow
keras
gpu
How to make unstructured data to structured data?
machine-learning
neural-network
deep-learning
supervised-learning
How to think about prediction error that is not convex in hyperparameter, or over the course of training
neural-network
deep-learning
hyperparameter
regularization
dropout
Keyword extraction using deep learning
machine-learning
deep-learning
data-mining
nlp
How do you train a machine learning model to learn how to adjust images (contrast, brightness, saturation, crop etc.) from manually adjusted images?
machine-learning
deep-learning
image-classification
computer-vision
image-recognition
Tensorflow Train Cnn on Multi-Gpu With Dataset api Does Not work
python
neural-network
deep-learning
tensorflow
what does smooth/soft probablity mean?
deep-learning
Understanding Tensorflow LSTM models?
machine-learning
python
deep-learning
tensorflow
Building CNN, Need More Images
machine-learning
neural-network
deep-learning
MxNet version of Keras MLP doesn't learn
machine-learning
python
deep-learning
keras
How to Precondition A Fully Convolutional Neural Network
classification
deep-learning
convnet
How to retrain the neural network when new data comes in?
neural-network
deep-learning
online-learning
Can we generate huge dataset with Generative Adversarial Networks
deep-learning
gan
Gradient flow through concatenation operation
deep-learning
convnet
backpropagation
computer-vision
Keyword Extraction and Document Clustering in Deep learning
deep-learning
nlp
text-mining
Effect on feature map for separately training multi label image classification
machine-learning
deep-learning
convnet
image-classification
What is the classical way to visualize 3D filters in convolutional neural networks?
deep-learning
visualization
Implementing a CNN with one convolution layer
machine-learning
deep-learning
keras
Machine-learning algorithm / library for outcome prediction
machine-learning
deep-learning
Actor-Critic in Discrete action spaces
python
deep-learning
reinforcement-learning
How to create domain rules from raw unstructured text using NLP and deep learning?
machine-learning
deep-learning
nlp
Tensorflow regression predicting 1 for all inputs
machine-learning
neural-network
deep-learning
regression
tensorflow
How to divide MNIST training dataset into subparts?
machine-learning
deep-learning
caffe
mnist
Neural Networks overfitting
machine-learning
neural-network
deep-learning
regression
supervised-learning
What are default keras layer weights
classification
deep-learning
keras
What network is called high-capacity network? Why?
neural-network
deep-learning
Text recognition within images
deep-learning
tensorflow
beginner
How to feed the input to a Memory Augmented Neural Network (MAAN) to do one shot learning?
deep-learning
meta-learning
Neural Networks with out normalization
machine-learning
neural-network
deep-learning
About LSTM cells, units and inputs
deep-learning
lstm
What is the difference between Keras and Tflearn
machine-learning
deep-learning
keras
tflearn
Advantages of monotonic activation functions over non-monotonic functions in neural networks?
machine-learning
neural-network
deep-learning
activation-function
Multiple Output Layers in Neural Networks in Deep Q Learning
machine-learning
neural-network
deep-learning
q-learning
Why should softmax be used in CNN
machine-learning
deep-learning
speech accent recognition data augmentation and training
deep-learning
lstm
audio-recognition
cnn
AlexNet second layer understanding
neural-network
deep-learning
When to use GRU over LSTM?
neural-network
deep-learning
Why can it be that my neural network is predicting the contrary?
neural-network
deep-learning
gradient-descent
Loss does not reduce on neural network for Cifar 10 dataset
neural-network
deep-learning
tensorflow
keras
image-classification
Predicting future airfare using past data
machine-learning
deep-learning
time-series
regression
forecast
How does neural network solve XOR problem
neural-network
deep-learning
Using a White noise image to minimise the loss in a (convolutional) neural network
machine-learning
neural-network
deep-learning
Keyword/phrase extraction from Text using Deep Learning libraries
neural-network
text-mining
deep-learning
beginner
tensorflow
Why does it speed up gradient descent if the function is smooth?
deep-learning
gradient-descent
Data Augmentation for Regression
deep-learning
regression
data-augmentation
How does timestep affects a stateless LSTM with batch_size=length(y) in keras?
machine-learning
neural-network
deep-learning
lstm
What is Compatible Function Approximation theorem in reinforcement learning?
deep-learning
reinforcement-learning
Isn't the optimizer network in deepminds learning to learn a DRQN?
neural-network
deep-learning
q-learning
meta-learning
Can I use a regression machine learning model for predicting a vector with multiple values?
machine-learning
neural-network
deep-learning
keras
Add a new category to pretrained model with N classifier, but all others will classify to this new category
deep-learning
What is the difference between float64 and double in TensorFlow?
machine-learning
deep-learning
tensorflow
the relationship between the number of filters/kernels and the number of feature maps
neural-network
deep-learning
cnn
Fine tuning accuracy lower than Raw Transfer Learning Accuracy
python
neural-network
deep-learning
What is training
neural-network
deep-learning
training
Deep Learning: Feed Forward for Unbalanced Classes Using Tensor Flow
neural-network
deep-learning
tensorflow
Crop background from Image
deep-learning
image-classification
image-recognition
Algorithms to get intent of an article?
neural-network
deep-learning
nlp
How to make output dimensions match input dimensions in CNN?
neural-network
deep-learning
convnet
pytorch
cnn
The model of LSTM with more than one unit
deep-learning
tensorflow
keras
rnn
lstm
Pre-trained CNN for feature extraction
machine-learning
neural-network
deep-learning
tensorflow
image-classification
Parameterization regression of rotation angle
neural-network
deep-learning
loss-function
parameter-estimation
numpy.random.rand(m,n) produces matrix of 0 and -0
python
deep-learning
numpy
How can I calculate Kernel matrix K for clustering based Kernel Principal Component Analysis?
machine-learning
deep-learning
data-mining
bigdata
pca
ML algorithms for defining NORMAL user behavior
deep-learning
clustering
unsupervised-learning
supervised-learning
What is the efficient way to generate a similarity score when comparing two face images?
machine-learning
classification
deep-learning
similarity
distance
Any pytorch tools to monitor neural network's training?
deep-learning
tensorflow
pytorch
Scientific explanation of Skip Connections
deep-learning
Strange patterns from GAN
deep-learning
keras
convolution
gan
generative-models
How to update bias in CNN?
machine-learning
deep-learning
backpropagation
cnn
How tangent distance works in three-dimentional space
machine-learning
deep-learning
distance
Implementing skill extraction using unsupervised approaches
machine-learning
deep-learning
unsupervised-learning
java
Do you know a dataset for regression where deep learning outperforms svm and random forests?
deep-learning
dataset
regression
random-forest
svm
How can we scale up the number of classes for deep learning after training a model?
machine-learning
neural-network
classification
deep-learning
Keras or TensorFlow Examples for Working with Large Text Datasets (~10M Sentences)
machine-learning
deep-learning
dataset
tensorflow
keras
Are there libraries or techniques for 'noisifying' text data?
machine-learning
nlp
deep-learning
data-cleaning
data-augmentation
Match an image from a set of images : Combine traditional Computer vision + Deep Learning/CNN
machine-learning
deep-learning
image-classification
computer-vision
image-recognition
How can we use InceptionV3 to recognize multiple object in 1 image (other then detection methods)
machine-learning
neural-network
deep-learning
convnet
computer-vision
What is the difference between observation and variable?
deep-learning
data-mining
bigdata
pca