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).
The method zero_grad() needs to be called during training. But the documentation is not very helpful | zero_grad(self) | …
python neural-network deep-learning pytorch gradient-descenttf.nn.embedding_lookup(params, ids, partition_strategy='mod', name=None) I cannot understand the duty of this function. Is …
python tensorflow deep-learning word-embedding natural-language-processingI am using Windows 10, Python 3.5, and tensorflow 1.1.0. I have the following script: import tensorflow as tf import tensorflow.contrib.keras.…
python tensorflow deep-learning keras keras-layerI'm trying to train a classifier via PyTorch. However, I am experiencing problems with training when I feed the model …
python neural-network deep-learning classification pytorchI was going through this example of a LSTM language model on github (link). What it does in general is …
neural-network deep-learning lstm pytorch contiguousMy question is in two connected parts: How do I calculate the max along a certain axis of a tensor? …
python tensorflow deep-learning max tensorI've recently reviewed an interesting implementation for convolutional text classification. However all TensorFlow code I've reviewed uses a random (not …
python numpy tensorflow deep-learningI am trying to reconcile my understand of LSTMs and pointed out here in this post by Christopher Olah implemented …
python deep-learning keras lstmI'm trying to implement a neural network that classifies images into one of the two discrete categories. The problem is, …
python-3.x numpy neural-network deep-learning gradient-descentI'm working on a image class-incremental classifier approach using a CNN as a feature extractor and a fully-connected block for …
python tensorflow keras deep-learning computer-vision