Artificial intelligence (AI) is increasingly prevalent, integrated into phone apps, search engines and social media platforms ...
Learn how to use Google Colab for coding, data science, and AI projects with this beginner-friendly guide. Free GPU access ...
Learn how to build a fully connected, feedforward deep neural network from scratch in Python! This tutorial covers the theory, forward propagation, backpropagation, and coding step by step for a hands ...
Cryptocurrency markets operate 24/7, creating constant opportunities for beginners to capitalize on. Buying and holding real digital assets like Bitcoin or Ethereum is simpler and safer for newcomers ...
There was an error while loading. Please reload this page.
This is my journey to implement NNs from first principles, one neuron at a time. In this notebook we build a neural network with 2 neurons in layer 1, and 1 neuron in layer 2. We then visualize how it ...
Abstract: Activation functions are pivotal in neural networks, determining the output of each neuron. Traditionally, functions like sigmoid and ReLU have been static and deterministic. However, the ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback