How does it works?Okay, let's dive into the details.The way I define a neuron's firing method is through the following steps, where the argument x is an input:Before anything, we need an initialize (or to empty) the state for each neuron upon starting predictions....
This question is just about the term "pooler", and maybe more of an English question than a question about BERT. By reading this repository and its issues, I found the "pooler layer" is put after Transformer encoder stacks, ant it change...
Because they do not rely on labeled training data, autoencoders are not considered a supervised learning method. Like all unsupervised learning methods, autoencoders are trained to discover hidden patterns in unlabeled data, rather than to predict known patterns demonstrated in labeled training data;...
HLS streaming does have one disadvantage, which we mentioned above. Namely, it has a relatively higher latency than some other protocols. That means that HLS streams are not quite as “live” as the term live streaming suggests. Generally, with HLS, viewers can experience delays of up to 30...
OTT refers to media distribution over the internet, where the content producer does not control the distribution channel. Before we dive into OTTstreamingand the related technology, let’s define “OTT.” Over-the-top, orOTTfor short, is a media distribution method that delivers content outside...
(i.e.http://mydomain.com/robots.txt) and if they don't find it there, they simply assume that this site does not have a robots.txt file and therefore they index everything they find along the way. So, if you don't put robots.txt in the right place, do not be surprised that ...
This SEO tutorial covers all the necessary information you need to know about Search Engine Optimization - what is it, how does it work and differences in the ranking criteria of major search engines. 1. How Search Engines Work The first basic truth you need to know to learn SEO is that ...
Currently, most streaming solutions use RTMP ingest, soRTMP encodersare a safe bet. FAQ 1. What is live streaming and how does it work? Live streaming technologyallows sharing video and audio streams with your viewers in real-time over the internet, much like how live TV works. However, ...
Unsupervised learning does not require labeled data. Instead, the model learns patterns and structures from the data itself without explicit guidance on what the output should be. Most LLMs are initially trained using unsupervised learning, where they learn to predict the next word in a sentence ...
Unsupervised Learning Algorithms:Input data is not labeled and does not come with a label. The model is prepared by identifying the patterns present in the input data. Examples of such problems include clustering, dimensionality reduction and association rule learning. List of algorithms used for the...