Y
HN Search
Hacker News Search
new
|
comments
|
top
|
jobs
jimmy_dean
searching PlanetScale…
1.
▲
2.
▲
3.
▲
4.
▲
5.
▲
6.
▲
3 ms
·
1.
▲
by
jimmy_dean
7y ago
The main reason numpy isn't used in NN implementations is that it does not, natively speaking, have GPU support. Tensor structures in PyTorch and TensorFlow have the most solid backend support for GPUs (TPUs) and have a good amount of
2.
▲
by
jimmy_dean
7y ago
And you can inline display latex fragments. Not the prettiest display but it does the job!
3.
▲
by
jimmy_dean
7y ago
100% this. To understand code written with Greek letters you'd also need to understand the author's intentions for using said letters. Is mu an average or coeff of friction? Why should I lean on a crutch of context for a casual sk
4.
▲
by
jimmy_dean
7y ago
Deepmind can always transfer learning to the robotics industry, if they haven't already. There's bound to be a space they can fill with the progress they've made in these video game reinforcement learning tasks. Maybe aiding
5.
▲
by
jimmy_dean
7y ago
The Coding The Matrix textbook is exactly the type of book you've described that is tailored for programmers. I've read only the first few chapters and found it a joy even if a little wordy in some parts. https://coding
6.
▲
by
jimmy_dean
7y ago
Addressing your second question. Informally, dropping nodes fights overfitting by creating subsample architectures of which are essentially thinned out networks of the one you've designed. Having trained on these sub nets means you
7.
▲
by
jimmy_dean
8y ago
Yup! I made heavy use of his codingbat material during 1st year. https://codingbat.com/java
8.
▲
by
jimmy_dean
8y ago
That course is really the best blend of theory and application. I find their approach more tasteful than fast.ai's, but to each their own!
9.
▲
by
jimmy_dean
8y ago
The machine learning Stanford courses are probably the best open education contributions I've encountered. From Ng's CS229 material to Karpathy's rendition of CS231n. These are some of the best pedagogical materials on machin
10.
▲
by
jimmy_dean
8y ago
Just a side-note. Swift comes with an repl and has support in Jupyter and Google Colab for whatever that's worth. As you mentioned the numerical computing ecosystem is just not anywhere close to Python or even Julia. There is a silver