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The project will make use of Tensorflow and Keras, running on Google Colab and the Python programming language. 3 . 1 . Task 1 :

The project will make use of Tensorflow and Keras, running on Google Colab and the Python programming language. 3.1. Task 1: Run the MNIST with LeNet Colab Notebook (3 marks)3.1.1. Objective 1: Compare the training accuracy/loss, validation accuracy/loss, and test accuracy/loss between the 2-layer NN and LeNet-5 models. 3.1.2. Go to the MNIST with LeNet Colab Notebook 3.1.3. Run the model following the instructions in Colab. 3.2. Task 2: Run the CIFAR-10 with LeNet Colab Notebook (5 marks)3.2.1. Objective 2: Compare the training accuracy/loss, validation accuracy/loss, and test accuracy/loss between the 2-layer NN and LeNet-5 models. EEEB4023, Semester 2,2023/2024 Group Project 1 Performance Comparison of Neural Networks 3.2.2. Go to the CIFAR-10 with LeN

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