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Prikvačeni tweet
Meet
@FloydHub_ - the fastest way to build, train, and deploy AI models. Sign up for free at http://floydhub.com :https://www.youtube.com/watch?v=FcsjqQ2QdLQ …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
FloydHub proslijedio/la je Tweet
This was by far the most difficult (and interesting)
#MachineLearning#DeepLearning#NLP post I have worked on. Tokenization is a really exciting field of research in and of itself. Loved working with@FloydHub_ to get it publishedhttps://blog.floydhub.com/tokenization-nlp/ …Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
How do recent advancements in
#NLP actually teach models a more efficient way to process words? Take a dive into the nitty-gritty details of tokenization with our newest article authored by@cathalhoran :https://blog.floydhub.com/tokenization-nlp/ …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
FloydHub proslijedio/la je Tweet
How to get into machine learning without a degree, alternatives to traditional education, building a portfolio, applying for ML jobs, interviews, getting into research, and indie research ideas. I had an ace chat with
@GGozzoli at@FloydHub_ . Enjoy!https://blog.floydhub.com/emils-story-as-a-self-taught-ai-researcher/ …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
FloydHub proslijedio/la je Tweet
I'm excited to share this
@FloydHub_ blog article on the project I've been working on for the past few months: Training a tiny Sentiment Analisys model using Knowledge Distillation to remarkably improve accuracy Article: https://blog.floydhub.com/knowledge-distillation/ … Code: https://github.com/tacchinotacchi/distil-bilstm …Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
FloydHub proslijedio/la je Tweet
Once you've created your classifier, you need to analyze its quality. I published a guide with
@FloydHub_ on classifier metricshttps://blog.floydhub.com/a-pirates-guide-to-accuracy-precision-recall-and-other-scores/ …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
FloydHub proslijedio/la je Tweet
Got my first
@FloydHub_ Article published. Titled: Introduction to Adversarial Machine Learning. Most exciting part is it uses my Library scratchai built on top of@PyTorch
Link: https://blog.floydhub.com/introduction-to-adversarial-machine-learning/ …
Library: http://github.com/iarunava/scratchai …
#MachineLearning#deeplearning#aiHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
FloydHub proslijedio/la je Tweet
A dive on deep learning projects, giving you tried-and-true advice, debugging tricks, and an easily-understood overview of training neural networks in this guide: *Training Neural Nets: a Hacker’s Perspective* https://blog.floydhub.com/training-neural-nets-a-hackers-perspective/ …
@FloydHub_@GoogleDevExpertHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
FloydHub proslijedio/la je Tweet
An interview with
@GGozzoli Lead Data Scientist at@FloydHub_ : https://medium.com/@spsayakpaul/an-interview-with-alessio-lead-data-scientist-at-floydhub-8efd73c1b2b1 … I consider this guy as one of my genuine mentors :)@GoogleDevsIN@GoogleDevExpertHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
FloydHub proslijedio/la je Tweet
Multiprocessing vs. Threading in Python: What Every Data Scientist Needs to Know via
@FloydHub_ https://buff.ly/32N4mPF#Python#DataScientistpic.twitter.com/QDsZT3Si2H
Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
FloydHub proslijedio/la je Tweet
Attention Mechanism https://blog.floydhub.com/attention-mechanism/ … by
@FloydHub_Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
FloydHub proslijedio/la je Tweet
[FloydHub] Multiprocessing vs. Threading in Python: What Every Data Scientist Needs to Know --> Sooner or later, every data science project faces an inevitable challenge: speed. Working with larger data sets leads to slower processing thereof, so you'l…http://bit.ly/2ZJPW5f
Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
FloydHub proslijedio/la je Tweet
Bigger vs. smaller models, powerful vs. dumb models by
@seb_ruder http://newsletter.ruder.io/issues/bigger-vs-smaller-models-powerful-vs-dumb-models-190768 … via@revue My@FloydHub_ article "Becoming One with the Data" is also in the newsletter :)Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
FloydHub proslijedio/la je Tweet
This is one of the most astounding demos of Deep Learning I've ever seen! Huge opportunity for new open-source Web Development tools based on merely 200 lines of Keras code. Really opens up the imagination for what can be done with
#DeepLearninghttps://blog.floydhub.com/turning-design-mockups-into-code-with-deep-learning/ …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
FloydHub proslijedio/la je Tweet
The researchers have shared their Keras/TensorFlow code on GitHub!https://github.com/flag0010/pop_gen_cnn/ …
Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
FloydHub proslijedio/la je Tweet
Nice detailed post on the applications of deep learning in geneticshttps://blog.floydhub.com/exploring-dna-with-deep-learning/ …
Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
FloydHub proslijedio/la je Tweet
I looked into this in a bit more detail in my recent blog post on
@FloydHub_ to see which models performed better for general semantic similarity with the default pre-trained modelshttps://blog.floydhub.com/when-the-best-nlp-model-is-not-the-best-choice/ …Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
FloydHub proslijedio/la je Tweet
Just published a post on
@FloydHub_ about when choosing the best#NLP model might not be the best choice. Big shout out to@huggingface for their transformers repo which enabled me to use XLNet for comparison.#DeepLearninghttps://blog.floydhub.com/when-the-best-nlp-model-is-not-the-best-choice/ …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
FloydHub proslijedio/la je Tweet
N-Shot Learning: Getting things done with less data |
@FloydHub_ https://buff.ly/33656Aw#MachineLearningpic.twitter.com/LfycXVT8AI
Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
FloydHub proslijedio/la je Tweet
Deep learning is great but it requires a large amount of data to train and predict with such efficiency. But recently, a new domain has emerged which works on training deep models using as less as 0 examples. Check out my new article exploring the domain.https://blog.floydhub.com/n-shot-learning/ …
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So stoked to see
@neuralink's progress over the last couple of years! Very excited for the breakthroughs in AI and brain-machine interfaces. Honored to have@max_hodak as an investor in@FloydHub_https://twitter.com/neuralink/status/1151643972768432130 …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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