We will create a Deep Neural Network python from scratch. We are not going to use Tensorflow or any built-in model to write the code, but it's entirely from scratch in python. We will code Deep Neural ...

Understanding Neural Network Input-Output Before looking at the demo code, it's important to understand the neural network input-output mechanism. The diagram in Figure 2 corresponds to the demo ...

This video is an overall package to understand Dropout in Neural Network and then implement it in Python from scratch.

The upside is that the neural network is effective and lower effort than trying to develop heuristics manually, while the downside is that you aren’t really in control of what the code is doing.

Neural networks are very impressive and extremely useful bodies of code, but never forget that they are code.

Although neural networks have been studied for decades, over the past couple of years there have been many small but significant changes in the default techniques used. For example, ReLU (rectified ...