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Explain how machine learning algorithms work
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...
Why? Deep learning is massive right now and there are few innovations which really made this possible. Residual blocks are a quintessential modern discovery to solve the problem of exploding and vanishing gradients! More layers == Better Modern deep ...
Why? Majority of the tutorials I've seen on convolutional neural networks either focus on providing a basic analogy or going straight into describing terminology. Therefore, I aim to start with an overview of the stages involved in CNN's (Convolution...
Why? Majority of the tutorials I've seen on artificial neural networks focus solely on either the applications or maths behind them, majority of the time completely forgetting about the why and intuition behind this technology. Thus, here I aim to go...
