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@bosslady0299 To deploy your deep learning model for image recognition on the `ESP32`, you need to optimize it to address memory constraints. The `MemoryError` occurs because the model is too large for the `ESP32’s` available memory. To resolve this, you can:
– Quantize the Model: Convert the model to an `8-bit` format using `TensorFlow Lite’s` post-training `quantization`, which significantly reduces the `model` size and `memory` usage.
– Simplify the Model: Reduce the complexity by using fewer layers, neurons, or switching to more efficient architectures like `MobileNet` or `TinyML` models.
– Use Additional Optimizations: Techniques like pruning or weight clustering can further shrink the model.
Once optimized, test the model on the `ESP32` to ensure it fits and runs inference efficiently.
Thanks for the help would work on this now
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