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<h1> Make a neural network </h1>
<h2> Shrink the neural network up to 10 times </h2>
<ul> Make the neural network 50% smaller - $ 2000
<br>
... and so on <strong> up to 10 times </strong>
</ul>
<h2> Raise Test Accuracy to 99.5% of your neural network </h2>
<ul> <strong> Increase Test set accuracy: </strong> <br> </ul>
<ul> from 84% to 86% - $ 3000 <br> from 86% to 88% - $ 10000 <br> ... and so on <strong> up to 99.5% </strong> when the neural network is doing better than person. <br> </ul>
<ul> tel: +79633123320, WhatsApp +79269319322 <br> Telegram @shatatoy or +79269319322 <br> https://vk.com/shatatoy </ul>
<ul> Zhuikov Alexander - Tatoy (Shatatoy - @ Syrius4 - Τατόι) </ul>
<ul> <br> Modeling and developing new neural networks. <br> Direction: <br> Robots, systems, speech, text, video. </ul>
<ul> My technologies allow me to make <strong> neurons </strong> and derivatives, <strong> which are 5 to 10 years ahead </strong> the technologies of many companies. </ul>
<p> Example </p>
<ul> Recognition of voice commands. <br> <br> Summary:
<em> <br> My Model1 is <strong> 11 times smaller </strong> than the one in the manual (count_params 148,645 versus 1,625,611) <strong> and significantly better in all respects </strong>. </em> </ul>
<ul> Metrics for this tutorial as of 3/21/2021: <br> <a href="https://www.tensorflow.org/tutorials/audio/simple_audio" rel="nofollow"> https://www.tensorflow.org / tutorials / audio / simple_audio </a> <br> Total params: 1,625,611 <br> val_loss: 0.4848 - val_accuracy: 0.8388 <br> Test set accuracy: 84%
<figure> <img src = "https://habrastorage.org/getpro/moikrug/uploads/redactor_image/10042021/images/3f23227df73938c84d94fba9a26753cc.png" data-image = "ves8qf2blynu"> </figure>
<figure> <img src = "https://habrastorage.org/getpro/moikrug/uploads/redactor_image/10042021/images/e861cf87a9e5758190f3e23455ddc570.png" data-image = "0v6sa48vu1ah"> </figure>
<ol> <strong> <br> </strong> </ol>
<br> <strong> Model1 </strong>
* collected by my robot automatically: *
• count_params 148.645
• evaluate loss 0.3729 - evaluate accuracy 0.88
• Test set accuracy 84.62%
<figure> <img src = "https://habrastorage.org/getpro/moikrug/uploads/redactor_image/10042021/images/0d7a4a95526f6554c3c5ce06ba89d7c0.png" data-image = "esjbpdukezjp"> </figure>
<br> <strong> Model2 </strong>
* more, collected by my robot automatically *
• count_params: 3,003,038
• evaluate loss: 0.2823 - evaluate accuracy: 0.9087
• Test set accuracy: 89.00%
<figure> <img src = "https://habrastorage.org/getpro/moikrug/uploads/redactor_image/10042021/images/5d8a56d35e01de249d867c24873fbcdd.png" data-image = "y70k49oheavg"> </figure>
<figure> <img src = "https://habrastorage.org/getpro/moikrug/uploads/redactor_image/10042021/images/b7d35b6fecf284ee52205c4ee9a26cba.png" data-image = "gcyqw18htk7r"> </figure> <br> loss - less is better
<br> accuracy, val_accuracy - more is better.
<br> Test set accuracy - checking on data that the machine did not see, more is better. <br> count_params is the number of parameters of the neural network. less is much better.
<ul> The same 6400 training sound files / 6400/800
<br> The algorithm is universal, from 2020/04 and now it is different. Suitable for any neuron. This is a simple audio example, quick. This is not aerobatics.
<br> I have a lot of algorithms. very different. More often algorithms are not for collecting, but for creating special neurons, extended, universal, etc. <br>
Creation of models, kernels, and systems on custom neural networks.
<br>
Can be used in the:
- oil and gas industry
- banking industry
- search engines
- medicine
- air and rail freight
- games
- bots
- further development of universal or 'strong' AI
- and others. The scope is very broad
<br>
AI - the bias of its own research:
- cognitive science,
- evolution of information transfer and retention.
- A new generation of decision-making tools.
- medicine,
- rejuvenation,
- life extension,
- health,
<br>
current from 06/03/22021.
1. Creation of evolutionary, genetic, universal algorithms.
2. Autonomy of neural networks, including development, evolution.
3. Neural networks which are not static, changeable, mutating, etc.
<br>
New development theme 08.11.2021
- Acceleration of Civilization.
- Some areas of Acceleration:
a. New generation and evolution of the text, speech.
b. A revolution in the transmission and preservation of information, manuals.
c. Ways of laying out and remembering information.
d. (private)
e. (private)
f. New Wikipedia.
- Other areas of Acceleration (private).
<br>
Neural networks are not static, changing, mutating, etc.
- Data manipulation, autodetection of information, neural network self-learning, training without a teacher, encoders, use of trained neural networks and encoders, GPT, RuGPT, Berta, ruBerta. TF Hub, huggingface.
- AI Institute and Association Development.
<br> <strong> Understanding technology or practiced, among others: </strong>
• TensorFlow and Keras
• Preparation of datasets, data normalization
• Custom Embedding, including invented copyright technologies
• Freeze weights and layers.
• Saving - restoring the model and weights.
• Transfer Learning.
• Pretrained networks.
• Custom layers, models, custom activation functions and metrics.
• Avtotyunig, AutoML.
• Regularization and Dropout - fighting overfitting.
• Batch Normalization.
• Masking.
• Manipulations with complex LRs.
• use in TF of 16-bit and 32-bit types (float16, float32) for acceleration or precision.
• TensorBoard.
<br> and more.
• Classification, regression, generation, etc.
<br> Understanding Technology
• RNN, GRU, LSTM,
• Convolutional NN,
• Encoding-Decoding, Variational Autoencoders (VAE),
• Generation - GAN,
• Seq2seq and Attention,
• Transformer BERT, GPT-3,
• ELMo and more.
<br> Clustering:
• K-means
• Affinity Propagation
• Mean Shift
• Spectral clustering
• Hierarchical clustering
• DBSCAN
• OPTICS and more. </ul>
<ul> Hundreds of discoveries, ideas, proprietary custom technologies and directions of research, researches:
• Development of the system of the Institute of AI itself and searches, works, the latest production (intelligence).
• Development of research systems (special Institute)
• Developer of speed education.
• An exponent for AI and x intelligence ... where without it.
• Universal, Strong AI (both from real to real, and Futurology (future, ideas without criticism).
• Learning without a teacher, Unsupervised learning.
• Training with partial involvement of a teacher, Semi-supervised learning.
• Custom Embedding, including invented proprietary technologies.
• Technologies and inventions of data supply for neurons, VKon the fly (video, text, sound, speech, documentation).
• Training on unlabeled data.
• AI self-creation.
• Maximum automatism and self-optimization.
• "Snowball" - endless self-improvement, training.
• An expanded picture of the object, a complex neural network.
• Complex sequence, pipeline, chain for a neural network.
• Modernized and invented regression and prediction systems many times (for example, a robot on the Moscow and NY stock exchanges, crypt - everything is in the past).
<br> </ul>
<ul>
Favorite direction - development, new research and development, large-scale progress, civilization, the latest industries, the development of medicine and science on a large scale.
<br> Systems for AI, thinking, solutions, inventions, production of the latest technologies and products.
<br> Health and life extension, support of the mind, memory and all processes in the body in excellent condition, breakthrough technologies and products.
<br> I develop for experiments and experiments, for collecting and testing AI blocks.
<br> I develop systems to support AI teams, help in creating and conditions for them, advisor on working with AI startups, constructor. </ul>
<ul>
Computer architecture, computer hardware - advanced practice. My first computers long before Pentium1 and obsessed with motherboards, caches, chips, screws, memory and peripherals.
<br> </ul>
<ul> • Pandas, Numpy.
• digital video, sound, photo - experience in automatic, batch editing, slicing, converting, etc. - data for the neuron.
• Database.
• Experience in predicting rates of currencies, stocks, cryptocurrencies. Correlations.
• Successful market maker - programmer (in% - super-profit, robots and neural networks for risk-free trading).
<br> Creation / Programming:
• Google Colaboratory, Jupyter Notebook and PC code editors
• sites, shops, robots, services, Internet project management.
• php, lua, qlua, mySQL, PhpMyAdmin, json, xml, api as a client, Vk api - (more than 3 years of experience), did everything himself, and also attracted masters, organizer, idea, project leader, own projects.
• php OOP, python OOP, WebSocket, JS - just a little bit about that.
• I will master any language and framework - quickly.
• Created robots-market makers on the Moscow Exchange (Quik) and on crypto-exchanges - more than 3 years of experience. This is the last work, the result is profit, smart, they count 1,000,000 combinations in minutes on i5, 3 levels of cache, protection against hairpins, from external API glitches.
• charts, informers and calculators - cache, protection from hairpins, from overload, from robots, keeping access to hidden search engine robots, handling loss of connection with an external API, using a php library, using js and whatever.
• Participated in project management (creation of robots, websites for the company, design).
• Bootstrap3, Bitrix, 1C - it was a long time, experience less than a year.
• Experience of working with a client (trust, personal disposition, I can earn good money, appreciates, repeatedly).
• statistics, Google Analytics, Yandex.Metrica, LiveInternet, Wordstat.
• Search engine optimization sites, the site has been profitable for 10 years without support. Average was 2000 unique per day, max 20,000.
• Yandex.Direct, Google AdWords and Target.
• Yandex Advertising Network, Adsense.
• CRM (wrote CRM to myself in php + Vkontakt API).
• Advertising banners.
<br> Internet - shop
• experience in an elite boutique: new website, photo, video, net, all IT, image maker, designer, tailor, fashion.
• OpenCart. Auto-filling, loading-unloading-parsing of goods from other sites, synchronization with 1C
• any CMS. </ul>
<ul> Radio engineering, radio electronics, equipment - soldered, assembled according to diagrams, repaired.
<br> Car enthusiast, obsessed with the iron of the car, assembled - disassembled the car.
<br> Photo-video filming, graphics, video:
<br> Portrait, backlit, flash, depth of field, no shadows, interchangeable lenses, movable platform and tripod.
• CorelDRAW, Photoshop.
• 3D editors.
• Video editors.
• Design and Web Design. </ul>
<ul> <strong> Sound, voice acting and music.
</strong> • Cubase. Fruits. Cakewalk Sonar, Waves, Sound Forge, MIDI and VST plugins - Great experience.
• effect processors, sound processing, samples and synthesizers, mixing.
<br> Systems, OS, office
• installed / configured Windows, office networks and the Internet. Great experience.
• Computer hardware, repair, office network setup.
• Linux, Ubuntu, Debian, Apache / Nginx / php / http-server.
• Works on FTP.
• English - 20 years of reading scientific, complex documentation, technical - very different, with a very wide coverage. </ul>
tel: +79633123320,
WhatsApp + 79269319322
Telegram @shatatoy or + 79269319322 or https://t.me/shatatoy
vk - shatatoy or https://vk.com/shatatoy
https://www.facebook.com/alex.tatoi
Zhuykov Alexandr - Tatoy (Shatatoy - @ Syrius4 - Τατόι)
</ul></html>
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