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最近拜读了您的论文《GPT Understands, Too》，关于这段话有些不理解，希望您能帮忙指导解释下：”1) Discreteness: the original word embedding e of M has already become highly discrete after pre-training. If h is initialized with random distr…
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Hi
I'm new to deep learning and CNN. I have intended to use matconvnet for my class project about facial age estimation. I have a training set of size 8000 face images and a validation set of size 100…
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https://arxiv.org/abs/1712.01076v1
TMats updated
6 years ago
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Hi Bhargav and Likun,
I am having trouble loading in my own data for Homework 3.2, Minibatch stochastic gradient descent (SGD). In the sample code you provided in the notebook, MNIST data is loaded…
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As discussed with @siddharthteotia, consider adding some common statistical analysis methods SQL language.
Few examples:
1. Pearson's coefficient
2. Sampling (bernoulli/stratified)
5. Histogram…
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Run an experiment to evaluate the performance of a simulated annealing gradient descent (SA-GD) approach compared to traditional gradient descent (GD). The purpose of this experiment is to understand …
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Right now the abstract optimizer::Solver class is extremely minimalistic, only offering the ability to solve a Problem that was passed in during construction (incidentally, I think it should be possib…
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Hi, I read your C++ code of LINE for Windos, a very good implementation. but I have a question that why you didn't consider the Read-Write Conflict when update the embeding vector in Update() functio…
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#### Learning Goals
[Learning goals, bulleted/numbered list is preferred]
[e.g. learn the concept and the use of train/validation/test dataset using scikit-learn ]
Learn to preprocess images, use a…
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* [Link](https://www.mitpressjournals.org/doi/10.1162/089976698300017746)
* Title: Natural Gradient Works Efficiently in Learning
* Keywords (optional):
* Authors (optional):
* Reason (opti…