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How to Reduce Computational Constraints using Momentum Contrast V2(Moco-v2) in PyTorch
MoCo-v2 comes with the simplicity and power of SimCLR with fewer compute requirements. It is unsupervised technique for visual representation learning.
Guest Blog 18 Aug, 2020
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Image Augmentation on the fly using Keras ImageDataGenerator!
Learn Image Augmentation with Keras ImageDataGenerator. Expand your dataset size with this deep learning image augmentation technique. Optimized for Google.
Aniruddha Bhandari 19 Feb, 2024
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Information Retrieval using word2vec based Vector Space Model
Learn Information Retrieval, Vector Space Model and Mean Precision Average. Use word2vec on an Information Retrieval project based on a vector space model.
Abhishek Sharma 23 Oct, 2024
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How to Use Texthero to Prepare a Text-based Dataset for Your NLP Project
Texthero is a simple Python toolkit that provides quick and easy tools to let you preprocess, represent, map into vectors and visualize text data.
Guest Blog 16 Aug, 2020
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Build a Natural Language Generation (NLG) System using PyTorch
Understand NLG concepts such as dataset preparation, how a neural language model is trained, and finally Natural Language Generation process in PyTorch.
Prateek joshi 04 Aug, 2020
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How Part-of-Speech Tag, Dependency and Constituency Parsing Aid In Understanding Text Data?
Delve into the depths of POS tagging and its applications in language processing. Strengthen your grasp on NLP fundamentals. Read Now!
Abhishek Sharma 12 Nov, 2024
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MobileBERT: BERT for Resource-Limited Devices
MobileBERT introduces bottlenecks in the transformer blocks, which allows us easily to distill the knowledge from larger teachers into smaller students.
Guest Blog 28 Jul, 2020
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How to Train an Image Classification Model in PyTorch and TensorFlow?
Build image classification models in Pytorch and TensorFlow. Learn CNN for image classification on MNIST dataset and analyze the performance of the model.
Pulkit Sharma 20 Jun, 2023
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Transfer Learning for NLP: Fine-Tuning BERT for Text Classification
Transfer learning in NLP is a technique to train a model to perform similar tasks on another dataset. Learn how to fine tune BERT for text classification.
Prateek joshi 14 Oct, 2024
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Build Text Categorization Model with Spark NLP
Use Spark NLP on AWS EMR and do text categorization of BBC data. We examine different evaluation metrics in Spark MLlib and see how to store a model.
Guest Blog 13 Jul, 2020
