This workshop will consider several applications based on machine learning classification and the training of artificial neural networks and deep learning.
Overview: Master deep learning with these 10 essential books blending math, code, and real-world AI applications for lasting ...
Implement Neural Network in Python from Scratch ! In this video, we will implement MultClass Classification with Softmax by ...
CATS-Net (Concept Abstraction and Task-Solving Network) is a comprehensive framework for understanding and implementing concept abstraction in neural networks. The system combines supervised learning ...
Abstract: Fourier ptychography (FP) is a new computational imaging technique with the advantage of being able to provide super-resolution imaging. FP has a very complex degradation process. Merging ...
Abstract: Polar codes with large kernels offer improved error-correction performance but suffer from high decoding complexity due to costly marginalization operations. In this work, we propose neural ...