Deep Learning with Yacine on MSN
Build k-nearest neighbors from scratch in Python – step by step tutorial
Learn how to implement the K-Nearest Neighbors (KNN) algorithm from scratch in Python! This tutorial covers the theory, ...
This repository contains a Keras (and TensorFlow Keras) reimplementation of EfficientNet, a lightweight convolutional neural network architecture achieving the state-of-the-art accuracy with an order ...
Deep Learning with Yacine on MSN
Nadam optimizer explained: Python tutorial for beginners & pros
Learn how to implement the Nadam optimizer from scratch in Python. This tutorial walks you through the math behind Nadam, ...
Lucid is a collection of infrastructure and tools for research in neural network interpretability. We're not currently supporting tensorflow 2! If you'd like to use lucid in colab which defaults to ...
Overview: Reinforcement learning in 2025 is more practical than ever, with Python libraries evolving to support real-world simulations, robotics, and deci ...
Abstract: I welcome you to the fourth issue of the IEEE Communications Surveys and Tutorials in 2021. This issue includes 23 papers covering different aspects of communication networks. In particular, ...
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