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

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. 🧠 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 Google Colab Notebook https://colab.research.google.com/drive/1-gXcvRzEqu3E5lWVLYaet7EP6A_bFzmD #tensorflow #machinelearning