Make a neural network

Shrink the neural network up to 10 times

Make the neural network 50% smaller - $ 2000
... and so on up to 10 times

Raise Test Accuracy to 99.5% of your neural network

Increase Test set accuracy:

from 84% to 86% - $ 3000
from 86% to 88% - $ 10000
... and so on up to 99.5% when the neural network is doing better than person.

tel: [phone], WhatsApp [phone]
Telegram @shatatoy or [phone]
https://vk.com/shatatoy

Zhuikov Alexander - Tatoy (Shatatoy - @ Syrius4 - Τατόι)

Modeling and developing new neural networks.
Direction:
Robots, systems, speech, text, video.

My technologies allow me to make neurons and derivatives, which are 5 to 10 years ahead the technologies of many companies.

Example

Recognition of voice commands.

Summary:
My Model1 is 11 times smaller than the one in the manual (count_params 148,645 versus 1,625,611) and significantly better in all respects .

Metrics for this tutorial as of 3/21/2021:
https://www.tensorflow.org / tutorials / audio / simple_audio
Total params: 1,625,611
val_loss: 0.4848 - val_accuracy: 0.8388
Test set accuracy: 84%




Model1

• collected by my robot automatically: *
  • count_params 148.645
  • evaluate loss 0.3729 - evaluate accuracy 0.88
  • Test set accuracy 84.62%


Model2

• more, collected by my robot automatically *
  • count_params: 3,003,038
  • evaluate loss: 0.2823 - evaluate accuracy: 0.9087
  • Test set accuracy: 89.00%

loss - less is better
accuracy, val_accuracy - more is better.
Test set accuracy - checking on data that the machine did not see, more is better.
count_params is the number of parameters of the neural network. less is much better.
The same 6400 training sound files / 6400/800


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.


I have a lot of algorithms. very different. More often algorithms are not for collecting, but for creating special neurons, extended, universal, etc.


Creation of models, kernels, and systems on custom neural networks.


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
  
  

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,
  
  

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.
   
   

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).
  
  

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.


Understanding technology or practiced, among others:
• 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.

and more.
• Classification, regression, generation, etc.


Understanding Technology
• RNN, GRU, LSTM,
• Convolutional NN,
• Encoding-Decoding, Variational Autoencoders (VAE),
• Generation - GAN,
• Seq2seq and Attention,
• Transformer BERT, GPT-3,
• ELMo and more.


Clustering:
• K-means
• Affinity Propagation
• Mean Shift
• Spectral clustering
• Hierarchical clustering
• DBSCAN
• OPTICS and more.

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).



Favorite direction - development, new research and development, large-scale progress, civilization, the latest industries, the development of medicine and science on a large scale.


Systems for AI, thinking, solutions, inventions, production of the latest technologies and products.


Health and life extension, support of the mind, memory and all processes in the body in excellent condition, breakthrough technologies and products.


I develop for experiments and experiments, for collecting and testing AI blocks.

I develop systems to support AI teams, help in creating and conditions for them, advisor on working with AI startups, constructor.

Computer architecture, computer hardware - advanced practice. My first computers long before Pentium1 and obsessed with motherboards, caches, chips, screws, memory and peripherals.

• 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).


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.


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.

Radio engineering, radio electronics, equipment - soldered, assembled according to diagrams, repaired.
Car enthusiast, obsessed with the iron of the car, assembled - disassembled the car.


Photo-video filming, graphics, video:

Portrait, backlit, flash, depth of field, no shadows, interchangeable lenses, movable platform and tripod.
• CorelDRAW, Photoshop.
• 3D editors.
• Video editors.
• Design and Web Design.

Sound, voice acting and music. • Cubase. Fruits. Cakewalk Sonar, Waves, Sound Forge, MIDI and VST plugins - Great experience. • effect processors, sound processing, samples and synthesizers, mixing.


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.

tel: [phone],
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)