Transfer Learning - Use Inception V3 to Solve Any ML Problem (Tempo Detection) @DataSlayerMedia

Uploaded February 2018 | Updated September 2026, 2 weeks ago

This tutorial teaches you how to use Google's Inception v3 model to solve machine learning problems across various domains not just image classification. Specifically we will tackle a machine learning problem which is focused around audio (STEM) files. Instead of using the audio clips stored as normalized arrays of integers we instead pass the 10 second plots of the clips to the inception model performing transfer learning on the final layer and generating a very accurate and reliable predictor of the tempo of an audio file.

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Google Colab Notebook
colab.research.google.com/drive/1-gXcvRzEqu3E5lWVLYaet7EP6A_bFzmD

#tensorflow #machinelearning

Transfer Learning - Use Inception V3 to Solve Any ML Problem (Tempo Detection)

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$The New Method to Set Up a Chainlink Oracle Node on Google Cloud Platform This tutorial will show you step by step exactly how to set up and run your own Chainlink Oracle node on Google Cloud Platform. 🧠 Need expert help fast? Book a 1:1 session and get unstuck today 👉 https://bit.ly/42I10y5 🎥 NEW: Unlock members-only videos and behind-the-scenes drops 👉 https://bit.ly/4iyBm4I 🛠️ The exact tools and gear I trust (and actually use) 👉 https://amzn.to/44fKDv4 📚 Step-by-step setup guides, templates, and insider resources 👉 https://bit.ly/4ivZDID 🛒 Grab custom gear and tools designed by me 👉 https://etsy.me/4isKwjb 📩 For sponsorships or business inquiries, reach out: macgyvertechnology@gmail.com Outline Intro 0:00 - 0:08 Node Provider 0:08 - 0:20 Earning Money 0:20 - 1:00 What is an Oracle 1:00 - 1:30 Determinism 1:30 - 2:30 Random Numbers 2:30 - 2:50 Betting on a Sport Match 2:50 - 4:03 Open Source 4:03 - 4:11 Decentralized 4:11 - 4:20 Performance Audits 4:20 - 4:33 Using ChainLink 4:33 - 4:50 Google Cloud Platform 4:50 - 5:20 Setup PostgreSQL 5:20 - 6:11 Create Virtual Machine 6:11 - 7:25 Configure Database 7:25 - 9:34 Setup ChainLink Software 9:34 - 11:50 Setup Ethereum Node 11:50 - 13:40 Configure Database Schema 13:40 - 15:23 Test PostgreSQL Connection 15:23 - 16:35 Start ChainLink Instance 16:35 - 19:35 Create a Keystore Password 19:35 - 20:41 Access the ChainLink Client 20:41 - 22:10 Install NGINX 22:10 - 24:45 ChainLink Web App 24:45 - 25:20 Commands Elevate to Root sudo su - Install Docker on Ubuntu curl -sSL https://get.docker.com/ | sh sudo usermod -aG docker $USER exit Make a ChainLink Folder mkdir ~/.chainlink Create an Account (Ethereum Node) on Alchemy https://www.alchemy.com/ https://dashboard.alchemyapi.io/ Install Light Weight Postgres Client sudo apt install -y postgresql-client Test Database Connection to Google Cloud SQL pg_isready -d chainlink -h 35.223.13.41 -p 5432 -U postgres Create .env config file ROOT=/chainlink LOG_LEVEL=debug ETH_CHAIN_ID=1 CHAINLINK_TLS_PORT=0 SECURE_COOKIES=false ALLOW_ORIGINS=* ETH_URL= DATABASE_URL= Download and Run the Chain Link Node via Docker docker run -p 6688:6688 -v ~/.chainlink:/chainlink -it env-file=.env smartcontract/chainlink:1.7.0-root local n Install NGINX apt-get install nginx Modify NGINX Server Block location ~ / { proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for; proxy_set_header Host $http_host; proxy_redirect off; proxy_pass http://localhost:6688; } Keystore Credential Requirements - Don’t use numbers - 4 uppercase letters - Greater than 16 chars DEFINITION Blockchain oracles are entities that connect blockchains to external systems, thereby enabling smart contracts to execute based upon inputs and outputs from the real world. Oracles provide a way for the decentralized Web3 ecosystem to access existing data sources, legacy systems, and advanced computations. Decentralized oracle networks (DONs) enable the creation of hybrid smart contracts, where on-chain code and off-chain infrastructure are combined to support advanced decentralized applications (dApps) that react to real-world events and interoperate with traditional systems. #chainlink #web3$

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