Y
HN Search
Hacker News Search
new
|
comments
|
top
|
jobs
fibrennan
searching PlanetScale…
1.
▲
2.
▲
3.
▲
4.
▲
5.
▲
6.
▲
9 ms
·
31.
▲
Constructing neural networks from scratch: part 1
(blog.paperspace.com)
1 points
by
fibrennan
4y ago
|
2 comments
32.
▲
by
fibrennan
4y ago
Learn how to construct neural networks from scratch with NumPy, and simultaneously see how the internal mechanisms behind popular libraries like PyTorch and Keras are implemented.
33.
▲
by
fibrennan
5y ago
This tutorial examines how to construct and make use of basic conditional generative adversarial networks using TensorFlow.
34.
▲
by
fibrennan
5y ago
In this tutorial, we look at various methodologies that facilitate and aid the interpretation of several computer vision models, including LIME, SHAP, Grad-CAM, Guided Grad-CAM, and Expected Gradients.
35.
▲
by
fibrennan
5y ago
In part one of this series on object localization with pytorch, you will learn the theory behind object localization, and learn how to set up the dataset for the task.
36.
▲
Object Localization using PyTorch, Part 2
(blog.paperspace.com)
7 points
by
fibrennan
5y ago
|
2 comments
37.
▲
by
fibrennan
5y ago
Follow part 2 of this tutorial series to see how to train a specialized classification model for object localization using CNN's with PyTorch. Then see how to save and convert the model to ONNX.
38.
▲
by
fibrennan
5y ago
Puns are probably an ancient development [0] and there are a lot of famous punny people historically from Shakespeare to Abraham Lincoln -- I wonder if the modern scientific world is more or less hospitable to punning than the rest of socie
39.
▲
by
fibrennan
5y ago
So far as I understand it's a lot more than that. Their model has not only indexed but has also individually classified 900M+ citation statements by sentiment, the outputs of which produce a score to represent each paper's relativ
40.
▲
by
fibrennan
5y ago
That’a intentional on the part of the author who argues that e.g. “vagina” is far too narrow of a term to describe the subject matter.
41.
▲
by
fibrennan
5y ago
The Pussypedia book is really good too and it came out recently. I was surprised how novel some of the research is, but that’s also part of the brilliance of the book. This kind of anatomy/biology has long been underfunded and understu
42.
▲
by
fibrennan
5y ago
mln.dev for topics related to machine learning.
43.
▲
How JavaScript Libraries Are Training Neural Networks on Web Browsers
(blog.paperspace.com)
3 points
by
fibrennan
6y ago
|
0 comments
44.
▲
How to Improve YOLOv3
(blog.paperspace.com)
2 points
by
fibrennan
6y ago
|
0 comments
45.
▲
A Review of Popular Deep Learning Architectures
(blog.paperspace.com)
1 points
by
fibrennan
6y ago
|
0 comments
46.
▲
Hugging Face Transformers Container and Notebooks
(ml-showcase.paperspace.com)
1 points
by
fibrennan
6y ago
|
0 comments
47.
▲
A Guide to AdaBoost
(blog.paperspace.com)
2 points
by
fibrennan
7y ago
|
0 comments
48.
▲
by
fibrennan
7y ago
We agree. Notification sound has now been disabled.
49.
▲
by
fibrennan
7y ago
Agreed. Tab flashing has been disabled.
50.
▲
by
fibrennan
7y ago
Thanks for the feedback. Instance pricing is currently listed here ( https://gradient.paperspace.com/instances ) but we're working to make it simpler.
51.
▲
by
fibrennan
7y ago
Just wanted to share a Colab alternative I work on called Gradient[0] (also includes a free GPU). Some of the key differences: - Faster storage. Colab uses Google Drive which is convenient to use but very slow. For example, training dataset