Our Favorite Posts Of Last Week (Jun 16, 2019)

Technical Content Optimization

Upcoming SlideShare Loading in …5 × Technical Content Optimization 2. 2 No one knows Google’s algorithms. TECHNICALCONTENTOPTIMIZATION Disclaimer. 3. 3 No one knows Google’s algorithms. Patents are not an indication that something is currently in use. TECHNICALCONTENTOPTIMIZATION Disclaimer.
Link: https://www.slideshare.net/ipullrank/technical-content-optimization-149169748
Word Count: 2279

Generative Adversarial Networks (GANs) for Beginners: Generating Images of Distracted Drivers

Generative adversarial networks (GANs) refers to a set of neural network models typically used to generate stimuli, such as pictures. The use of GANs challenges the dogma that computers are not capable of being creative.
Link: https://towardsdatascience.com/generative-adversarial-networks-gans-for-beginners-82f26753335e
Word Count: 1173

Link Building at Scale: Topic-based Prospecting

Link Building is kind of like going to the bathroom. Everyone needs to do it, but most people don't like talking about it. But, here at FTF, we're always happy to talk shit; and on June 26th that's exactly what we plan to do.
Link: https://www.meetup.com/technical-seo/events/262314358/
Word Count: 243

How Images Affect SEO: Can Adding a Diagram Really Drive Rankings?

SEO is all about text. Search engines read it, then rank it, right? And if the text is in an image, Google can’t read it. So images are a problem and the written word is all that is important. That’s how SEOs thought of images for years. Not anymore.
Link: https://www.orbitmedia.com/blog/how-images-improve-seo/
Word Count: 1281

Confusing Words I'm Using - What You Wish You Knew About SEO

Join us Thursday, June 13th, 6:30 PM at Clouds Brewing Taproom to hear from an expert in her field, Jenny Halasz. https://twitter.com/jennyhalasz She is the President of JLH Marketing https://www.jlh-marketing.com A look at some complex topics and confusing words that even seasoned SEO's get wrong.
Link: https://www.meetup.com/beerandseo/events/262061660/
Word Count: 269

Transformer-XL Explained: Combining Transformers and RNNs into a State-of-the-art Language Model

Language modeling has become an important NLP technique thanks to the ability to apply it to various NLP tasks, such as machine translation and topic classification. Today, there are two leading architectures for language modeling — Recurrent Neural Networks (RNNs) and Transformers.
Link: https://mc.ai/transformer-xl-explained-combining-transformers-and-rnns-into-a-state-of-the-art-language-model/
Word Count: 1572

Intuitively Understanding Variational Autoencoders

In contrast to the more standard uses of neural networks as regressors or classifiers, Variational Autoencoders (VAEs) are powerful generative models, now having applications as diverse as from generating fake human faces, to producing purely synthetic music.
Link: https://towardsdatascience.com/intuitively-understanding-variational-autoencoders-1bfe67eb5daf
Word Count: 1784

GPT2, Counting Consciousness and the Curious Hacker

TL;DR: I’m a student that replicated OpenAI’s GPT2–1.5B. I plan on releasing it on the 1st of July. Before criticizing my decision to do so, please read my arguments below. If you still think I’m wrong, contact me on Twitter @NPCollapse or by email ([email protected]
Link: https://medium.com/@NPCollapse/gpt2-counting-consciousness-and-the-curious-hacker-323c6639a3a8
Word Count: 9126