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Hackers Realm Blog
Hackers Realm
Aug 21, 20239 min read
Transfer Learning using Pretrained Model | MNIST | Keras Tensorflow | Python
Transfer learning allows models to harness the insights gained from one task and apply them to new, distinct tasks.
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Hackers Realm
Aug 21, 20237 min read
Data Augmentation for Image Data | Keras Tensorflow | Python
Data augmentation is a fundamental technique to enhance the diversity and quality of the training data by applying various transformations
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Hackers Realm
Aug 20, 20235 min read
Extract Features from Audio File | MFCC | Deep Learning | Python
MFCC stands for Mel-Frequency Cepstral Coefficients.It is a widely used feature extraction technique in the field of audio signal processing
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Hackers Realm
Aug 20, 20235 min read
Extract Features from Image using Pretrained Model | Deep Learning | Python
Extracting features from images using a pre-trained model is common technique in transfer learning which saves time and improve performance.
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Hackers Realm
Aug 20, 202315 min read
Text Preprocessing Techniques in NLP | Complete Tutorial | Python
Text preprocessing involves cleaning and transforming raw text data into a format that is more suitable for analysis and machine learning
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Hackers Realm
Aug 7, 20238 min read
Word Embedding using GloVe | Feature Extraction | NLP | Python
Explore GloVe word embedding for NLP in Python. Learn feature extraction, transforming words into vector representations. #GloVe #Python
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Hackers Realm
Aug 7, 20234 min read
Feature Extraction using Word2Vec | NLP | Python
Word2Vec is a NLP technique for learning word embeddings which are dense numerical representations of words in a continuous vector space
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Hackers Realm
Jul 31, 20235 min read
Feature Extraction using Term Frequency - Inverse Document Frequency (TF-IDF) | NLP | Python
TF-IDF is a numerical representation often used in NLP and information retrieval to evaluate the importance of a word in a document
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Hackers Realm
Jul 31, 20234 min read
Feature Extraction of Text Data using Bag of Words | NLP | Python
A bag-of-words is a representation of text that describes the occurrence of words within a document.
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