learning-machine
keras
| learning-machine | keras | |
|---|---|---|
| 10 | 3 | |
| 486 | 54,926 | |
| - | - | |
| 0.0 | 9.9 | |
| 3 months ago | about 2 years ago | |
| Python | Python | |
| Apache License 2.0 | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
learning-machine
- Show HN: ML Questions Answered
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Show HN: A Machine Learning Book: Learn ML by Reading Answers, Like So
Hi HN, original poster here!
We made a compilation (book) of questions that we got from 1300+ students from this course [1].
We believe that stackoverflow-like Q/A scheme is best for learning, so we made this.
Project Repo: https://github.com/rentruewang/learning-machine
Website: https://rentruewang.github.io/learning-machine
The website is hosted on GitHub, automatically built from the repo by github actions.
We are lucky to get some feedbacks on reddit here [2], here [3], and here [4], and have made changes accordingly. We really want to know what you guys on HN think. Any suggestions are welcome!
[1] https://speech.ee.ntu.edu.tw/~hylee/ml/2021-spring.html
[2] https://www.reddit.com/r/datascience/comments/oz7xab/open_so...
[3] https://www.reddit.com/r/learnmachinelearning/comments/oz78n...
[4] https://www.reddit.com/r/MachineLearning/comments/oz7p26/p_o...
- Show HN: A Machine Learning Book: Learn ML by Reading Answers, Like SO
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Open Sourced a Machine Learning Book: Learn Machine Learning By Reading Answers, Just Like StackOverflow
[Project Repo](https://github.com/rentruewang/learning-machine)
- Learn machine learning by reading answers to questions, like stack overflow.
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Learn ML by answers to other people's questions!
Website Project Repo.
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Learn machine learning by reading someone else's questions answered.
We are working on a compilation of frequently asked questions! We aim to answer beginner-unfriendly questions in a simple, and strait-forward way so that it will never be asked again. Hope you find this helpful! Website, Project Repo.
- Show HN: A handbook to help students learn machine learning
keras
-
Keras - Difference between categorical_accuracy and sparse_categorical_accuracy
The source code can be found here:
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keras error on predict
Here
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How to get reproducible results in keras
I get different results (test accuracy) every time I run the imdb_lstm.py example from Keras framework (https://github.com/fchollet/keras/blob/master/examples/imdb_lstm.py)The code contains np.random.seed(1337) in the top, before any keras imports. It should prevent it from generating different numbers for every run. What am I missing?
What are some alternatives?
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