Deep Learning
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Understanding and Implementing TF-IDF Vectorization in NLP: Feature Engineering and Extraction at NLP Boot Camp
TFIDF (Term Frequency-Inverse Document Frequency) vectorization is a widely used technique in Natural Language Processing (NLP) for feature engineering and…
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Introduction to TensorFlow: A Beginner’s Tutorial from Simplilearn
TensorFlow is an open-source machine learning library developed by Google. It is widely used for various machine learning and deep…
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Using TensorFlow for Probabilistic Machine Learning
Probabilistic machine learning is a powerful approach that allows us to model uncertainty in our data and make predictions with…
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PyTorch | A Simple Tutorial for Beginners in Urdu/Hindi
PyTorch ایک مشہور مشین لرننگ لائبریری ہے جو کمپیوٹر وژن میں استعمال ہوتا ہے۔ یہ ایک موجودہ لائبریری ہے جو…
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Utilisation de tensorflow / keras pour implémenter un réseau de neurones convolutifs en Python
Les réseaux de neurones convolutifs (CNN) sont une architecture de réseau de neurones profonds principalement utilisée pour l’analyse d’images. Ils…
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Comparing TensorFlow and PyTorch for Deep Learning
When it comes to deep learning, TensorFlow and PyTorch are two of the most popular libraries used by developers and…
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Understanding ResNet: Explanation and PyTorch Implementation
In recent years, deep learning has gained a lot of popularity in the field of artificial intelligence. With the advancements…
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Una introducción a TensorFlow 2.0
TensorFlow es una de las bibliotecas de aprendizaje automático más populares y ampliamente utilizadas en la actualidad. TensorFlow 2.0 es…
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Discovering Topics Using Scikit-Learn: Understanding LDA Topic Modeling in Python
Topic Modelling is a popular technique in Natural Language Processing (NLP) that allows us to automatically extract topics from a…
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Review of Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow
Hands-On Machine Learning with Scikit-Learn, Keras, & TensorFlow by Aurélien Géron is an essential guide for anyone looking to learn…
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