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 ...

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

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 ...

Cloudy with a chance of neurons: The tools that make neural networks work If you want to get your own hands dirty with machine learning, start here.

Combinations of such neurons make up neural networks, and their combined workings can be difficult to decode. But the new way to combine neurons works a little differently.

Building chips with analogs of biological neurons and dendrites and neural networks like our brains is also key to the massive efficiency gains Rain Neuromorphics is claiming: 1,000 times more ...

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 ...