Скачать или смотреть #10 Live Coding - Tensorflow Image Classification with Transfer Learning - TF Lite Conversion

#machinelearning #machinelearningproject #kaggle #tensorflow

In this livestream I convert a Tensorflow Lite model using the Tensorflow converter with post-training quantization. Quantization basically means we have converted all the weights and activations in the model from 32 bits float to 8 bits integer and 16 bits integer for weights and activations respectively(appropriately called 16x8 quantization). This makes it possible to run the Tensorflow Lite model in integer-only devices. At the end the whole tensorflow lite model took only 3MB of space in the disk.
In my next livestream I will do an evaluation of the model to see how well it compares in terms of accuracy against the full Tensorflow model.
There are still many tasks to do before I can finish this project. For instance, I need to add two more image classes to my model, one for people and one for when there is nothing to detect in my garden. And once that is all done I will be running the model finally on the Raspberry PI and deploying it on the ground.

✅ Recommended Courses
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⭐ Python for Everybody 👉🏼 https://coursera.pxf.io/mgJKke
⭐ Machine Learning Specialization with Andrew Ng 👉🏼 https://imp.i384100.net/KemLOy
⭐ Learn Data Science with Coursera Plus 👉🏼 https://imp.i384100.net/c/3326428/132...

✅ Recommended Playlists
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#️⃣ Wildlife Detection with the Raspberry PI 👉🏼    • Machine Learning Project - Creating Image ...  
#️⃣ Tensorflow Style Transfer Tutorial and Examples 👉    • Tensorflow Style Transfer Tutorial and exa...  
#️⃣ 3D Deep Learning 👉🏼    • 3D Deep Learning  
#️⃣ Creating a 3D model of a Photo using Python and Numpy 👉🏼    • Creating a 3D model of a Photo using Pytho...  
#️⃣ Python Problems for Beginners 👉🏼    • Python Problems for Beginners  
#️⃣ Python Bot Development For Beginners 👉🏼    • Code a Bot with Python For Beginners - Ste...  
#️⃣ Web Scraping Projects 👉🏼    • Web Scraping Projects  
#️⃣ Blender Python API 👉🏼    • Blender Python API  

✅ My Favorite Tech
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💻 Ryzen 5950 and RTX 3090 PC for Gaming And ML 👉🏼 https://amzn.to/3Pz5saF
🖥 Gigabyte RTX 3090 Ti 👉🏼 https://amzn.to/3cxKN8l
🖥 Gigabyte RTX 3080 Ti 👉🏼 https://amzn.to/3BeRZjX
🖥 Gigabyte RTX 3070 Ti 👉🏼 https://amzn.to/3z3ZpUC
🖥 Gigabyte RTX 3060 👉🏼 https://amzn.to/3BmEpLk
👨🏼‍💻 M2 Macbook Pro 8GB 👉🏼 https://amzn.to/3OwPKve
👨🏼‍💻 M2 Macbook Air 8GB 👉🏼 https://amzn.to/3PNA7Ri
📟 Raspberry PI 👉 🏼https://amzn.to/3z4wKyP
📟 Raspberry Pi HQ Camera 👉🏼 https://amzn.to/3BirRVo
🖲 Web Camera 👉🏼 https://amzn.to/3v8inIs
📸 My Camera of Choice 👉🏼 https://amzn.to/3BinAkO
🖥 My Monitor of Choice 👉🏼 https://amzn.to/3z6GQ1U
🏢 Standing Desk 👉🏼 https://amzn.to/3Be5ssg
📗 Deep Learning Must Read 👉🏼 https://amzn.to/3OvbCHI

✅ My RTX 3070 and Ryzen 5900 Machine Learning PC Build
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#️⃣ Watch My First Deep Learning PC Build 👉🏼    • My first Deep learning PC Build and Setup  
#️⃣ AMD Ryzen 5900X CPU 👉🏼 https://amzn.to/3z6K9Gm
#️⃣ Gigabyte GeForce RTX 3070 EAGLE OC 8GB Graphics Card 👉🏼 https://amzn.to/3BeWTgM
#️⃣ ASUS ROG Strix X570-E Gaming ATX Motherboard, AMD Socket AM4 👉🏼 https://amzn.to/3PNEJXC
#️⃣ Corsair iCUE H150i PRO XT RGB Liquid CPU Cooler (360mm) 👉🏼 https://amzn.to/3b3w44w
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#️⃣ Crucial Solid State Drive 1TB 👉🏼 https://amzn.to/3J3tBUz
#️⃣ PC Case - Phanteks Eclipse P600S 👉🏼 https://amzn.to/3Pw34BB
#️⃣ Memory - Corsair Vengeance RGB Pro 32GB (2x16GB) DDR4 3600- Black 👉🏼 https://amzn.to/3owSSwA
#️⃣ Power Supply - CORSAIR CX750F RGB - 750 Watt, Fully Modular 👉🏼 https://amzn.to/3ophd7E

✅ MY EQUIPMENT FOR YOUTUBE
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📸 Sony Vlog Camera ZV1 👉🏼 https://amzn.to/3BinAkO
🎤 Rode Wireless GO 👉🏼 https://amzn.to/3PNA7AQ
🎤 Sennheiser Mke 400 Mic 👉🏼 https://amzn.to/3aYxvBv
💡 Neewer 3 Packs 530 RGB Led Light 👉🏼 https://amzn.to/3J20wZn
🏢 Manfrotto Variable Friction Arm with Bracket, Super Clamp 👉🏼https://amzn.to/3IZILdr

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