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Deep-Learning-Practice Assignment

Initial Procedure

  1. Importing Library

import

  1. Loading the MNIST dataset & Split into train and test datasets

load data

split

Model 1

  1. Define the model Model 1 : 3 Layers with 1 Convolution Layer

model1

  1. Traning Train for 5 epochs

train

  1. Testing

test Test Accuracy: 0.974

  1. Images and Corresponding probability that predicted right

images predicted right

  1. Images and Corresponding probability that predicted wrong

images predicted wrong

Model 2

  1. Define the model Model 2 : 5 Layers with 2 Convolution Layer

model2

  1. Traning Train for 5 epochs

train2

  1. Testing

test2 Test Accuracy: 0.984

  1. Images and Corresponding probability that predicted right

predicted right2

  1. Images and Corresponding probability that predicted wrong

predicted wrong2

Model 3

  1. Define the model Model 3 : 7 Layers with 4 Convolution Layer

model3

  1. Traning Train for 5 epochs

train3

  1. Testing

test3 Test Accuracy: 0.9886

  1. Images and Corresponding probability that predicted right

predicted right3

  1. Images and Corresponding probability that predicted wrong

predicted wrong3

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