A few days ago, I set out to build a simple image classification model using convolutional neural networks (CNNs). The task itself wasn’t particularly complex, but choosing the right framework proved more challenging than expected. I found myself choosing between TensorFlow and PyTorch, two powerful frameworks for building high-performance CNNs.
To explore this, I implemented the same CNN in both frameworks under identical conditions and compared them across key aspects like learning curve, flexibility, debugging, and performance.
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