A convolutional neural network (CNN, or ConvNet) is a class of deep, feed-forward artificial neural networks that has successfully been applied to analyzing visual imagery.
I have searched many places but ALL I get is HOW to install it, not how to verify that it …
cuda computer-vision caffe conv-neural-network cudnnI'm trying to train a CNN to categorize text by topic. When I use binary cross-entropy I get ~80% accuracy, with …
machine-learning keras neural-network deep-learning conv-neural-networkCan anyone please clearly explain the difference between 1D, 2D, and 3D convolutions in convolutional neural networks (in deep learning) …
machine-learning deep-learning signal-processing conv-neural-network convolutionThe original question was in regard to TensorFlow implementations specifically. However, the answers are for implementations in general. This general …
python neural-network tensorflow conv-neural-networkI have checked all the solutions, but still, I am facing the same error. My training images shape is (26721, 32, 32, 1), which …
python tensorflow deep-learning keras conv-neural-networkI'm training a neural network for my project using Keras. Keras has provided a function for early stopping. May I …
python keras deep-learning conv-neural-networkCurrently I use the following code: callbacks = [ EarlyStopping(monitor='val_loss', patience=2, verbose=0), ModelCheckpoint(kfold_weights_path, monitor='val_loss', …
python machine-learning neural-network conv-neural-network kerasI am using Keras (with Theano) to train my CNN model. Does anyone has idea how can I use it …
c++ tensorflow theano conv-neural-network kerasI'm using Lasagne to create a CNN for the MNIST dataset. I'm following closely to this example: Convolutional Neural Networks …
neural-network deep-learning conv-neural-network lasagne nolearnI am trying to produce a CNN using Keras, and wrote the following code: batch_size = 64 epochs = 20 num_classes = 5 cnn_…
python machine-learning neural-network keras conv-neural-network