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.

Data scientist Dr. James McCaffrey begins a series on presenting and explaining the most common modern techniques used for neural networks, for which over the past couple of years there have been many ...

The Neural Network Class The structure of the Python neural network class is presented in Listing 2. Python function and method definitions begin with the def keyword. All class methods and data ...

Good connections make a good network, but bad connections leave you with nothing but junk. The process of making those connections is called training, and it’s similar to what our own brains do ...

A new study in deep neural networking, titled "How to make a pizza: Learning a compositional layer-based GAN model" and recently published on arxiv.org (.PDF), explores how machine learning can be ...

Many of today’s leading AI systems are recurrent neural networks . This deep-learning method uses past information to improve performance on current and future inputs, But AI memory problem ...