GPU bench-marking with image classification | Deep Learning Tutorial 17 (Tensorflow2.0, Python)
This video shows performance comparison of using a CPU vs NVIDIA TITAN RTX GPU for deep learning. We are using 60000 small images for classification. These images can be classified in one of the 10 categories below,
classes = ["airplane","automobile","bird","cat","deer","dog","frog","horse","ship","truck"]
Here is the dataset link: https://www.cs.toronto.edu/~kriz/cifa...
We will use simple artificial neural network (we are not using CNN, usually CNN is preferred for image classification but since we have not covered that in our deep learning playlist so far we will be happy with simple ANN that still gives pretty high accuracy).
#gpuperformance #gpuperformancetest #GPUbenchmarking #imageclassification #DeepLearningTutorial #deeplearning
Code link: https://github.com/codebasics/deep-le...
Exercise: https://github.com/codebasics/deep-le...
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CUDA,cuDNN installation instructions: https://shawnhymel.com/1961/how-to-in...
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Deep learning playlist: • Deep Learning With Tensorflow 2.0, Keras a...
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Prerequisites for this series:
1: Python tutorials (first 16 videos): https://www.youtube.com/playlist?list...
2: Pandas tutorials(first 8 videos): • Pandas Tutorial (Data Analysis In Python)
3: Machine learning playlist (first 16 videos): https://www.youtube.com/playlist?list...
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