Deep Learning with Yacine on MSN
Gradient descent from scratch in Python – step by step tutorial
Learn how gradient descent really works by building it step by step in Python. No libraries, no shortcuts—just pure math and ...
Deep Learning with Yacine on MSN
Understanding forward propagation in neural networks with Python – step by step
Learn how forward propagation works in neural networks using Python! This tutorial explains the process of passing inputs ...
An AI model that learns without human input—by posing interesting queries for itself—might point the way to superintelligence ...
Transfer Learning for Anomaly Detection in Rotating Machinery Using Data-Driven Key Order Estimation
Abstract: The detection of anomalous behavior of an engineered system or its components is an important task for enhancing reliability, safety, and efficiency across various engineering applications.
Abstract: The paper presents a novel three-step transfer learning framework for enhancing cross-lingual transfer from high- to low-resource languages in the downstream application of Automatic Speech ...
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