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…
And you can inline display latex fragments. Not the prettiest display but it does the job!
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…
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…
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.…
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…
Yup! I made heavy use of his codingbat material during 1st year. https://codingbat.com/java
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!
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…
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.…
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…
And you can inline display latex fragments. Not the prettiest display but it does the job!
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…
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…
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.…
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…
Yup! I made heavy use of his codingbat material during 1st year. https://codingbat.com/java
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!
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…
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.…