Deep Learning isn’t like the human brain. What is the future of research in deep learning and optimization techniques? What innovations are to be expected?… Read More »The limits of Deep Learning, and its future
Spiking Neural Network (SNN) with PyTorch: towards bridging the gap between deep learning and the human brain
I think I’ve discovered something amazing: Hebbian learning naturally takes place during the backpropagation of SNNs. Backpropagation in Spiking Neural Networks (SNNs) engenders Spike-Timing-Dependent Plasticity… Read More »Spiking Neural Network (SNN) with PyTorch: towards bridging the gap between deep learning and the human brain
I think that in the future, Brain-Computer Interfaces (BCI) will be absolutely awesome. As much as the thought of using them are attractive, I think… Read More »Random Thoughts on Brain-Computer Interfaces, Productivity, and Privacy.
Have you ever been in the situation where you’ve got Jupyter notebooks (iPython notebooks) so huge that you were feeling stuck in your code? Or even worse: have you ever found yourself duplicating your notebook to do changes, and then ending up with lots of badly named notebooks? Well, we’ve all been here if using notebooks long enough. So how should we code with notebooks?
This is my #FIRST article on my blog.