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      "body": "![discord.png](https://cdn.steemitimages.com/DQmWxm2ioT9MXURittx7smnvTfsUGUz4Tq87R7qoMSMGzYU/discord.png)\n\nThere are many applications in the area of social networks, but people ultimately choose the one that best suits their needs.\n\nDuring the adoption of the #Steem blockchain, many communities were initiated for the meeting of users of the #Steemit social network; this with the purpose of learning together about this innovative social network. In order to do this, the #Discord application was used, following the pattern of other digital communities.\n\nMany people have wondered what *Discord*? and we can answer that it is a very versatile tool to communicate by voice and text, allowing sharing ideas, debates and educational schemes for community members to understand a little more what is the blockchain of *Steem*. In addition to text and audio, *Discord* also allows us to share through video calls, between two or more people. *Discord* is undoubtedly a very useful and versatile communication tool.\n\nWith *Discord*, it has even been possible to make live radio programs, live congresses, where people have been able to listen and communicate by voice. *Discord* has also made it possible to create teamwork teams.\n\nAs a community we must take advantage of the benefits of this application so that we can share our knowledge about *Steem* and also about personal and technical growth.\n\n#### See you next post! :-D",
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      "author": "steemitboard",
      "body": "You're welcome @ejdecena\nFeel free to support us back, [vote for our witness](https://v2.steemconnect.com/sign/account-witness-vote?witness=steemitboard&approve=1). \nYou will get one more badge and more powerful upvotes from us on your posts with our next notifications.\n<div class=\"pull-right\"><sub><a href=\"/@steemreply/steemreply-stay-in-touch-with-your-steem-network\">Posted with <img src=\"http://steemreply.com/logo-comment.png\"/></a></sub></div>",
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      "author": "prettynicevideo",
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      "body": "![portada.jpg](https://cdn.steemitimages.com/DQmQVwRNASvbu68tAJ2iKAxnvghMJKeoadybBRaDLDYjhkk/portada.jpg)\n\nHey guys, I hope you're okay. As you know, I am a programmer of [*Machine Learning*](https://en.wikipedia.org/wiki/Machine_learning) models and I wanted to share with you some fundamental concepts of one of the most used models, the *Artifical Neural Networks* (ANN). Concretely, we will see in this post what is an ANN, how they are classified, in what consists the learning algorithm of the Backpropagation and finally the advantages that offer us the ANN.\n\n## What is an ANN?\n***\nBasically an ANN is a paradigm of **learning** and **automatic processing** inspired by the functioning of the human brain. An artificial neural network is composed of a set of neurons interconnected by links.  Each neuron is essentially a simple model with *inputs* resembling dendrites, *weights* resembling synaptic connections and an *activation function* that gives an output resembling the axon of the human neuron. The following figure shows the model of an artificial neuron:\n\n![artificial_neuron.png](https://cdn.steemitimages.com/DQmaT3ST1qPKV8CWHCfQwtZZFQy7d6PdDqH3VozKr22YQzG/artificial_neuron.png)\n\nIn an ANN, each neuron takes as its input the outputs of the neurons from the predecessor layers. Each of these inputs is multiplied by weight, then partial results are added and the output for each neuron is calculated using the activation function. This output is in turn the input of the neurons it precedes. In this way, the union of all these interconnected neurons is what makes up the artificial neural network, as shown in the following figure:\n\n![artificial_neural_network.png](https://cdn.steemitimages.com/DQmRXXX4XPt8KUCPK3EmrdNjhDUbdHiF53bTF97YnNR6dZz/artificial_neural_network.png)\n\n## Classification of the ANNs.\n***\nBasically we can classify the ANN according to their *topology* and *learning method*:\n\n* Classification according to topology:\n    + Single-layer Neuronal Network ( Perceptron).\n    + Multilayer Neural Network (Multilayer Perceptron).\n    +  Convolutional Neural Network (CNN).\n    + Recurrent Neural Network (RNN).\n    + Radial Base Networks (RBF).\n\n\n* Classification according to learning method:\n    + Supervised learning.\n    +  Unsupervised learning.\n\n## Learning process of an ANN.\n***\nANNs, like biological networks, learn by **repetition**; this means that the more data we have to train them and the more times we train them, the neural networks will give us better results. There are several learning algorithms for ANNs according to their classification, the best known of all is the *Backpropagation Algorithm* (BA) for multilayer neural networks.\n\nIn the post [*How Does Neural Network Backpropagation Work?*](https://steemit.com/ai/@kasperfred/how-does-neural-network-backpropagation-work), its author @kasperfred explains us each one of the mathematical formulas that constitute the BA. Similarly, @cristi in his post [*Backpropagation Step by Step - The Mathematical Approach*](https://steemit.com/deep-learning/@cristi/backpropagation-step-by-step-the-mathematical-approach) gives us a brief explanation of the BA by telling us:\n\n> *(...) backpropagation simply means back propagating the error you get as you reach the output of a network, with the purpose of updating the weights to minimize this error. Matt details both the forward pass and the backward pass through a neural network, with the equations and derivatives that they imply.*\n\nAs we can see, the learning process of an ANN depends on its topology and has a mathematical algorithmic design, based fundamentally on the correction of output errors.\n\n## Advantages of ANNs.\n***\n* *Adaptive Learning*: ability to learn to perform tasks based on previous experiences.\n* *Self-organization*: ability to create their own representation of the information they receive through a learning stage.\n* *Tolerance to failures*: ability to continue to produce acceptable responses even to partial damage to their structure, this is because they stores redundant information.\n* *Real-time operation*: when they are implemented on parallel architectures in hardware or software.\n* *Flexibility*: ability to handle unimportant changes in input information, such as noisy signals or other input changes.\n\n## Conclusions.\n***\nANNs are logical models of learning and processing that attempt to emulate the structure and functioning of the human brain. ANNs consist of simple processors with inputs, weights, and activation functions, called *neurons*. ANNs are classified according to their topology and training methods, the most popular method being the Backpropagation Algorithm. ANNs offer us multiple advantages, especially in terms of adaptive learning and flexibility.\n\n#### Well, that's all for now friends, I hope you liked this brief introduction to the ANN. In next posts I will be expanding more on the subject of ANNs. Thanks for your attention, likes and comments :)",
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      "author": "richipedia",
      "body": "en esa playa voy a celebrar el dia que mis ingresos vuelvan a reflejar mi esfuerzo.",
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      "author": "ejdecena",
      "body": "Gracias Francisco, seguro visitaré tu canal en Youtube para aprender más sobre las *cryptomonedas*.",
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      "body": "![foto1.jpeg](https://cdn.steemitimages.com/DQmSg4dknwW3xY6oZN2PsmAPuMhWMqjuphUnRcFiuSDxJpL/foto1.jpeg)\n\n¡Hola amigos de Steemit!... Gusto en saludarles de nuevo y poder compartir con ustedes este nuevo post.\n\nRecién he terminado mis vacaciones de verano aquí en la [Isla de Margarita](https://es.wikipedia.org/wiki/Isla_de_Margarita), Venezuela. Por tal motivo, quería compartir con ustedes las fotos de una de las mejores playas de la isla, sino la mejor, [*Playa Parguito*](https://es.wikipedia.org/wiki/Playa_Parguito).\n\n![foto2.jpeg](https://cdn.steemitimages.com/DQmZJs9CgqmeZMXgyUm9zDbKeZqDY3oQsUBTBDAqiBKTELu/foto2.jpeg)\n\n*Playa Parguito* está ubicada al extremo noreste de la Isla de Margarita. Es una playa de tipo oceánica con aproximadamente un kilómetro de longitud y numerosas palmeras.\n\n![foto3.jpeg](https://cdn.steemitimages.com/DQmWDZSazRKKj6bDSeqWgrasDP68axjRaJ5KHUEqCAWHGbH/foto3.jpeg)\n\nAl ser una playa de fuerte oleaje, es usualmente visitada por los surfistas de la región para aprovechar sus olas de mediano tamaño.\n\n¡Están cordialmente invitados a *Playa Parguito*! :-)",
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      "body": "Pues si, ha faltado muchas cosas!!",
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      "author": "ejdecena",
      "body": "Saludos camarada Richita, jajaja",
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      "author": "richipedia",
      "body": "saludos camarado. nos seguimos leyendo por esta red.",
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      "author": "tuanis",
      "body": "**Welcome to steemit @ejdecena.**\n- Join @minnowsupport project for more help\n- Checkout @helpie for daily trivias and useful information\n- Join @qurator a good quality support project\n- Checkout @steembasicincome\n- Help us save the forest with @treeplanter\n\nWelcome the new steemians. Have a great day!",
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      "body": "Hola @yanirauseche, gracias por la bienvenida. Una pregunta: ¿Para qué son los testigos, por qué debemos votar por ellos?",
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      "body": "Bienvenido a la comunidad querido paisano, aqui en la plataforma vas aprender mucho también como se maneja todo, espero que sigas creando contenido. Te queria decir que tengo amigos programadores @olopezdeveloper quizas te guste hablar con el sobre temas de programación. Un gran saludo!!!",
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