Young entrepreneurs in Québec
Image: Distribution of Entrepreneurs by Age group in Québec. To the best of my knowledge, when I worked at Coveo, I was the youngest in… Read More »Young entrepreneurs in Québec
Guillaume Chevalier
No Fear for Deep Learning
If you’re like me, you feared more a biological disaster than an AI disaster. Many people feared AI in the past few years There was… Read More »No Fear for Deep Learning
LinkedIn 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… Read More »LinkedIn Connections Growth Analysis
The 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?… 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
Random 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… Read More »Random Thoughts on Brain-Computer Interfaces, Productivity, and Privacy.
How to Grow Neat Software Architecture out of Jupyter Notebooks
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?
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: –… Read More »LSTMs for Human Activity Recognition
