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How to Integrate Machine Learning into Web Applications with Flask
In this article, I will teach you how to embed an machine learning model in your Web Application with Flask in the and deploy it on Heroku.
Guest Blog 05 Sep, 2020
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How to build a Face Mask Detector using RetinaNet Model!
Face Mask Detector is a prime requirement of this pandemic. Learn to create a Face Mask Detector using RetinaNet in python.
Guest Blog 25 Aug, 2020
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Docker-based Python Development with CUDA Support on PyCharm and/or Visual Studio Code
This article shows you how to set up Docker-based Python development environment with CUDA support in PyCharm or Visual Studio Code
Guest Blog 19 Aug, 2020
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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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Building Sales Prediction Web Application using Machine Learning Dataset
Discover how to create a video game sales prediction using machine learning. Train a model and build a real-world application with Python.
Guest Blog 28 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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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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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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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
