By the end of the book, you’ll pack everything into a complete Python deep learning library, creating your own class hierarchy of layers, activation functions, and neural network architectures ...

Create a fully connected feedforward neural network from the ground up with Python — unlock the power of deep learning!

Explore 20 essential activation functions implemented in Python for deep neural networks—including ELU, ReLU, Leaky ReLU, ...

As I mentioned earlier, most deep learning is done with deep neural networks. Convolutional neural networks ... mentioned above are primarily Python, Deeplearning4j (DL4J), originally from ...

This guide to neural networks aims to give you a conversational level of understanding of deep learning ... type of neural network known as the convolutional neural network (CNN) — so called ...

What are convolutional neural networks in deep learning? Convolutional neural networks are used in computer vision tasks, which employ convolutional layers to extract features from input data.

A deep learning pioneer, Yann LeCun (creator of the convolutional neural network and ACM Turing award winner) posted on his Twitter handle (based on a paper): “Deep Learning is not as ...