" The two key ideas of deep learning for computer vision — convolutional neural networks and backpropagation were already well understood in 1989. The Long Short Term Memory (LSTM) algorithm, which is fundamental to deep learning for timeseries, was developed in 1997 and has barely changed since. So why did deep learning only take off … Continue reading Why deep learning? Why now?

# Month: September 2018

## Understanding how deep learning works:

We know that machine learning is about mapping inputs (such as images) to targets (such as the label “cat”), which is done by observing many examples of input and targets. We also know that deep neural networks do this input-to-target mapping via a deep sequence of simple data transformations (layers) and that these data transformations … Continue reading Understanding how deep learning works:

## Double Slit Experiment Quantum Mechanics

"If quantum mechanics hasn't profoundly shocked you, you haven't understood it yet"- Niels Bohr This quote from Niels Bohr seems absolutely correct after observing the "Double Slit Experiment" Have a look and you will say, "What's the matter with the matter" https://youtu.be/aXvHfCeXd5U