You may want to look into Cupy. It is replicating the Numpy API on GPUs. It is not too complicated but fun to add missing functions. Picking easier parts first guides you closer and closer to becoming fluent in GPU…
I did not see much value over the standard documentation or the referenced blog post in this blog post at hand.
Great analysis. Why don't you give a talk at UPB about it. Send me a PM if you are interested.
I am curious about a longer more technical explanation of what you do, too.
How do you mimic the desk feature (lay out a few cars on the table) in org mode?
The title is asking for attention unnecessarily since the neural network will not be able to distinguish between "legal" and "illegal" chainsaws. It should just say: Listening for logging chainsaws [...]
You may want to look into Cupy. It is replicating the Numpy API on GPUs. It is not too complicated but fun to add missing functions. Picking easier parts first guides you closer and closer to becoming fluent in GPU…
I did not see much value over the standard documentation or the referenced blog post in this blog post at hand.
Great analysis. Why don't you give a talk at UPB about it. Send me a PM if you are interested.
I am curious about a longer more technical explanation of what you do, too.
How do you mimic the desk feature (lay out a few cars on the table) in org mode?
The title is asking for attention unnecessarily since the neural network will not be able to distinguish between "legal" and "illegal" chainsaws. It should just say: Listening for logging chainsaws [...]