Deep Learning is an area of machine learning whose goal is to learn complex functions using special neural network architectures that are "deep" (consist of many layers).
What is the difference between 'SAME' and 'VALID' padding in tf.nn.max_pool of tensorflow? In my opinion, 'VALID' …
python tensorflow deep-learningWhat is the difference between epoch and iteration when training a multi-layer perceptron?
machine-learning neural-network deep-learning artificial-intelligence terminologyI have a pkl file from MNIST dataset, which consists of handwritten digit images. I'd like to take a look …
python pickle deep-learning mnistI have trained a binary classification model with CNN, and here is my code model = Sequential() model.add(Convolution2D(…
python tensorflow deep-learning kerasI'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-networkWhen I trained my neural network with Theano or Tensorflow, they will report a variable called "loss" per epoch. How …
machine-learning neural-network mathematical-optimization deep-learning objective-functionI'm playing with the reuters-example dataset and it runs fine (my model is trained). I read about how to save …
python theano deep-learning kerasFor any Keras layer (Layer class), can someone explain how to understand the difference between input_shape, units, dim, etc.? …
neural-network deep-learning keras keras-layer tensorHow to initialize the weights and biases (for example, with He or Xavier initialization) in a network in PyTorch?
python neural-network deep-learning pytorchI was looking for alternative ways to save a trained model in PyTorch. So far, I have found two alternatives. …
python serialization deep-learning pytorch tensor