Create a fully connected neuron network

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Reference no: EM133398584

Assignment:

Question 1. Suppose you need to train a dataset with each piece of data formatted as a 4*4 matrix, your goal is to classify them into 8 exclusive categories using m sequential API. Now you created a fully connected neuron network using two hidden dense layers, with the first layer 64 neurons, and second layer 100 neurons. how many total parameters will be trained?

Question 2. Which of the following is NOT a good strategy of fine-tuning hyperparameter?

a) Using fewer and fewer neurons at each layer because higher level features require fewer neurons to train.

b) Using the same number of neurons in all hidden layers.

c) Using more neurons on the first hidden layer.

d) Starting with a model with more layers and neurons than you need, then use other techniques to prevent it from overfitting.

Reference no: EM133398584

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