#9 Working on Tensorflow Image Classification with Transfer Learning - ML Experiments
#machinelearning #machinelearningproject #kaggle #tensorflow
In this Livestream I conduct some machine learning experiments by trying different combinations of datasets, one gathered from my own raspberry pi, with another dataset from a Raspberry pi.
✅ Recommended Courses
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⭐ Python for Everybody 👉🏼
⭐ Machine Learning Specialization with Andrew Ng 👉🏼
⭐ Learn Data Science with Coursera Plus 👉🏼
✅ Recommended Playlists
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#️⃣ Wildlife Detection with the Raspberry PI 👉🏼
#️⃣ Tensorflow Style Transfer Tutorial and Examples 👉
#️⃣ 3D Deep Learning 👉🏼
#️⃣ Creating a 3D model of a Photo using Python and Numpy 👉🏼
#️⃣ Python Problems for Beginners 👉🏼
#️⃣ Python Bot Development For Beginners 👉🏼
#️⃣ Web Scraping Projects 👉🏼
#️⃣ Blender Python API 👉🏼
✅ My Favorite Tech
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💻 Ryzen 5950 and RTX 3090 PC for Gaming And ML 👉🏼
🖥 Gigabyte RTX 3090 Ti 👉🏼
🖥 Gigabyte RTX 3080 Ti 👉🏼
🖥 Gigabyte RTX 3070 Ti 👉🏼
🖥 Gigabyte RTX 3060 👉🏼
👨🏼💻 M2 Macbook Pro 8GB 👉🏼
👨🏼💻 M2 Macbook Air 8GB 👉🏼
📟 Raspberry PI 👉 🏼
📟 Raspberry Pi HQ Camera 👉🏼
🖲 Web Camera 👉🏼
📸 My Camera of Choice 👉🏼
🖥 My Monitor of Choice 👉🏼
🏢 Standing Desk 👉🏼
📗 Deep Learning Must Read 👉🏼
✅ My RTX 3070 and Ryzen 5900 Machine Learning PC Build
(Includes Amazon Affiliate Links)
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#️⃣ Watch My First Deep Learning PC Build 👉🏼
#️⃣ AMD Ryzen 5900X CPU 👉🏼
#️⃣ Gigabyte GeForce RTX 3070 EAGLE OC 8GB Graphics Card 👉🏼
#️⃣ ASUS ROG Strix X570-E Gaming ATX Motherboard, AMD Socket AM4 👉🏼
#️⃣ Corsair iCUE H150i PRO XT RGB Liquid CPU Cooler (360mm) 👉🏼
#️⃣ Samsung Nvme 980 pro 2tb 👉🏼
#️⃣ Crucial Solid State Drive 1TB 👉🏼
#️⃣ PC Case - Phanteks Eclipse P600S 👉🏼
#️⃣ Memory - Corsair Vengeance RGB Pro 32GB (2x16GB) DDR4 3600- Black 👉🏼
#️⃣ Power Supply - CORSAIR CX750F RGB - 750 Watt, Fully Modular 👉🏼
✅ MY EQUIPMENT FOR YOUTUBE
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📸 Sony Vlog Camera ZV1 👉🏼
🎤 Rode Wireless GO 👉🏼
🎤 Sennheiser Mke 400 Mic 👉🏼
💡 Neewer 3 Packs 530 RGB Led Light 👉🏼
🏢 Manfrotto Variable Friction Arm with Bracket, Super Clamp 👉🏼
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✅ Source Code
✅ BUSINESS ENQUIRIES
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✅ Timestamps
0:00 Trying to fix a Tensorflow bug: “Cleanup called....“
13:11 Tensorboard setup on Kaggle - Failed
18:39 Drawing Accuracy/Loss Graph with Matplotlib
36:00 Creating Confusion Matrix with Tensorflow and Pandas library
55:00 Appending string suffix to each element in Numpy Array
01:12:00 TConcatenating dataset with Tensorflow with ()
01:15:00 Training with mixed internet dataset with Raspberry Dataset
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