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Beginner deep learner, FastAI worth it?

Original article was published by /u/veeeerain on Deep Learning Hello, I’ve been working with python and data science for a few months now, and after exploring packages such as scikit-learn. I now want to move onto deep learning, and I’ve heard a lot about difference courses. I did one project where I built a CNN in tensorflow after taking a few courses off of data camp, but I felt like it was not very in depth. I keep hearing a...

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[R] Google ‘mT5’ Pretrained Text-to-Text Transformer Achieves SOTA Performance on Multilingual Benchmarks

Original article was published by /u/Yuqing7 on Deep Learning Google researchers recently introduced mT5, a multilingual variant of the tech giant’s “Text-to-Text Transfer Transformer” (T5), pretrained on a new Common Crawl-based dataset covering 101 languages. As discussed in the Synced article Google T5 Explores the Limits of Transfer Learning, the T5 leverages a unified text-to-text format and scale to attain...

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Managing memory usage for big datasets

Original article was published by /u/Tiago_Minuzzi on Deep Learning Hi! TL;DR: I can’t use the dataset I’d like to because I don’t have enough RAM. How to manage this? As part of my PhD project in genetics, I’m training a deep learning model to identify an classify certain genomic elements. The datasets used are in fasta format, which have the genomic sequences. The total number of sequences (strings) are about 35k+ with...

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How to prepare for a talk on a research paper?

Original article was published by /u/littlebruinnn on Deep Learning I am interviewing for a research engineer position at a deep learning startup that focuses on NLP products. The role is to assist the research scientist with engineering work and to build/evaluate models using machine learning theories. This is a dream job of mine and I also think I’m a good fit. My background is in applied math (bachelor) and master in data...

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