machine learning
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Introduction to Keras: A Tutorial for Beginners in Deep Learning by Simplilearn
Keras is an open-source deep learning library written in Python that allows for fast experimentation and development of neural networks….
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Creation Song of PyTorch Tensors
In PyTorch, tensors are the fundamental data structure used for storing and manipulating data in neural networks. Tensors are similar…
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What makes TensorFlow worth using?
TensorFlow is a powerful and versatile open-source machine learning framework that was developed by Google. It has rapidly become one…
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Getting Started with Keras: An introduction to using Keras for beginners
Keras is a popular open-source deep learning library, written in Python and capable of running on top of other deep…
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Introducing Keras: A Beginner’s Guide to Keras
Keras is an open-source deep learning library written in Python. It is a high-level neural networks API, capable of running…
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Creando tu primera red neuronal en Python y Tensorflow
Una red neuronal es un modelo matemático que está inspirado en la forma en que funciona el cerebro humano. Consiste…
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Essential Information for Contributing to PyTorch (Links Provided in Description)
PyTorch is an open-source machine learning library developed by Facebook’s AI Research lab. It’s widely used in academic research and…
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Learn TensorFlow Quickly: A Beginner’s Tutorial in 10 Minutes – Edureka
TensorFlow is a popular open-source deep-learning framework developed by Google. It provides a robust ecosystem of tools, libraries, and community…
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Create an AI/ML Tennis Analysis System using YOLO, PyTorch, and Key Point Extraction
In this tutorial, we will walk through the process of building an AI/ML tennis analysis system using YOLO object detection,…
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Using Scikit-learn for Music Information Retrieval: Python Algorithms for MIR – Steve Tjoa
Music Information Retrieval (MIR) is a field that involves the extraction of useful information from music signals. This tutorial will…
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