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Articles tagged with #deep-learning
Why? 5.4 million people are bitten by snakes every year and 81-138 million people die due to snake bites each year. Preventing snake bites is clearly a major issue, in need of preventative measures to save lives. The project Snaked demonstrates a pot...
Why? When creating Snaked, my snake classification model I needed to find a way to improve results. Super-Convergence was just that, a way to train a model faster whilst getting better results! HOWEVER, I found no guides on how to do it with the buil...
Why? So you've cleaned your data, written some basic code to train a model, but now don't know where to go next. Don't worry, I've got your back. I'm going to explain in as much detail as I can the tricks I've learnt about which can help improve any ...
Why? I had just finished my last MOOC and couldn't stop wondering whether I was ready to start a project. I was frightened, scared, and lacked confidence. However, after weeks of contemplation, I bit the bullet and announced I'd create a simple image...
Why? When I first found out I wanted to become a data scientist I was completely overwhelmed by the vast breadth and depth of the field of study. The overwhelming complexity blinded me on how to learn. I began with a rough outline of the different re...
Why? There are so many models to trial out, but training a neural network is a slow process when you have a substantial amount of data. Here I'll step you through the full model life cycle, starting with a list of potential models, explaining their d...
