Operationalizing Deep Learning A Starter Guide

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Operationalizing Deep Learning (CNN) Model using ONNX, Keras & Flask: A Starter Guide
Table of Contents What is ONNX? ........................................................................................................................... 3 Why ONNX? ............................................................................................................................... 3 How ONNX? ............................................................................................................................... 3 Where ONNX .............................................................................................................................. 4 Step1: Environment setup .......................................................................................................... 4 Create & Activate Conda Environment ......................................................................................................... 5 Installing ONNX/Keras and other Libraries ................................................................................................... 5 Step 2: Preparing the Dataset ..................................................................................................... 5 Step 3: Convolutional Neural Network (Deep Learning) .............................................................. 6 Defining the CNN model ............................................................................................................................... 6 Train/test the model ..................................................................................................................................... 7 Step 4: Convert to ONNX Model ................................................................................................. 7 Step 5: Operationalize Model .................................................................................................... 7 Summary .................................................................................................................................... 9 Code ........................................................................................................................................... 9

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