Transfer Learning in natural language processing is an area that had not been explored with great success. But, last month (May 2018), Jeremy Howard and Sebastian Ruder came up with the paper - Universal Language Model Fine-tuning for Text Classification which explores the benefits of using a pre-trained model on text classification. It proposes ULMFiT, a transfer … Continue reading Understanding the Working of Universal Language Model Fine Tuning (ULMFiT)
Earlier, I was of the opinion that getting computers to recognize images requires - huge amount of data, carefully experimented neural network architectures and lots of coding. But, after taking the deep learning course - fast.ai, I found out that it is not always true. We can achieve a lot by writing just a few lines … Continue reading Hotdog or Not Hotdog – Image Classification in Python using fastai
Activation functions are an integral component in neural networks. There are a number of common activation functions. Due to which it often gets confusing as to which one is best suited for a particular task. In this blog post I will talk about, Why do we need activation functions in neural networks? Output layer activation … Continue reading Which activation function to use in neural networks?