Transfer Learning for NLP: Fine-Tuning BERT for Text Classification
Introduction With the advancement in deep learning, neural network architectures like recurrent neural networks (RNN and LSTM) and convolutional neural networks (CNN) have shown …
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Facebook AI Launches DEtection TRansformer (DETR) – A Transformer based Object Detection Approach!
Introduction Every once in a while, a machine learning framework or library changes the landscape of the field. Today, Facebook open sourced one such …
Deep Learning for Everyone: Master the Powerful Art of Transfer Learning using PyTorch
Overview The art of transfer learning could transform the way you build machine learning and deep learning models Learn how transfer learning works using …
Tutorial on Text Classification (NLP) using ULMFiT and fastai Library in Python
ULMFiT is essentially a method to enable transfer learning for any NLP task and achieve great results. All this, without having to train models from scratch.
11 most read Deep Learning Articles from Analytics Vidhya in 2017
Introduction This is that time of year, when you reflect on the year gone by. 2017 has been a year of growth for us at …
Fine-tuning a Keras model using Theano trained Neural Network & Introduction to Transfer Learning
Introduction We have seen the in-depth detailed implementation of neural networks in Keras and Theano in the previous articles. I think both the libraries are …
