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Tensorflow 2 Object Detection API Tutorial with a GPU in Windows 10
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#tensorflow #gpu #neuralnetworks #nvidia #python
Hello there! Today I will be completing the Tensorflow 2 Object Detection API Tutorial on my new Windows PC.
I have already set up my development environment so I can already run Tensorflow 2.4 with Python 3.8 and using Anaconda. Also, I have added GPU support to Tensorflow because I have installed all the Nvidia CUDA libraries, including cuDNN.
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MY PURCHASE LIST(affiliate links)
AMD Ryzen 5900X CPU
Gigabyte GeForce RTX 3070 EAGLE OC 8GB Graphics Card
The model I bought is unavailable in the US store, so I replaced it with.a similar model from Gigabyte with slightly higher specs:
ASUS ROG Strix X570-E Gaming ATX Motherboard, AMD Socket AM4
Corsair iCUE H150i PRO XT RGB Liquid CPU Cooler (360mm)
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
Hello there! Today I will be completing the Tensorflow 2 Object Detection API Tutorial on my new Windows PC.
I have already set up my development environment so I can already run Tensorflow 2.4 with Python 3.8 and using Anaconda. Also, I have added GPU support to Tensorflow because I have installed all the Nvidia CUDA libraries, including cuDNN.
Article:
FOLLOW ME
SUPPORT THE CHANNEL or get MENTORING
MY PURCHASE LIST(affiliate links)
AMD Ryzen 5900X CPU
Gigabyte GeForce RTX 3070 EAGLE OC 8GB Graphics Card
The model I bought is unavailable in the US store, so I replaced it with.a similar model from Gigabyte with slightly higher specs:
ASUS ROG Strix X570-E Gaming ATX Motherboard, AMD Socket AM4
Corsair iCUE H150i PRO XT RGB Liquid CPU Cooler (360mm)
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
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