LSTMs for Human Activity Recognition
See the GitHub project here. Human Activity Recognition (HAR) using smartphones dataset and an LSTM RNN. Classifying the type of movement amongst six categories: – WALKING, – WALKING_UPSTAIRS, –...
View ArticleRandom Thoughts on Brain-Computer Interfaces, Productivity, and Privacy.
I think that in the future, Brain-Computer Interfaces (BCI) will be absolutely awesome. As much as the thought of using them is attractive, I think they also might be dangerous for ourselves if...
View ArticleSpiking Neural Network (SNN) with PyTorch: towards bridging the gap between...
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...
View ArticleThe limits of Deep Learning, and its future
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? In the mind, thoughts happens throughout...
View ArticleLinkedIn Connections Growth Analysis
Assessing personal growth on LinkedIn with charts. You can use the code in here to try it with your profile. I’ve done it with mine now: Guillaume Chevalier. That is me in the picture. Intro Plotting...
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