7. Computer Vision with Convolutional Neural Networks

Activity 7.01: Amending Our Model with Multiple Layers and the Use of softmax

Let's try and improve the performance of our image classification algorithm. There are many ways to improve its performance, and one of the most straightforward ways is by adding multiple ANN layers to the model, which we will learn about in this activity. We will also change the activation from sigmoid to softmax. Then, we can compare the result with that of the previous exercise. Follow these steps to complete this activity:

1. Import the numpy library and the necessary Keras libraries and classes:

   # Import the Libraries 
   from keras.models import Sequential
   from keras.layers import Conv2D, MaxPool2D, Flatten, Dense
   import numpy as np
   from tensorflow import random

2. Now, initiate the model with the Sequential class:

   # Initiate the classifier
   seed = 1
   np.random.seed(seed)
   random.set_seed(seed)
   classifier=Sequential()

3. Add the first layer...