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October 8, 2018 22:49
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Initiation of parameter values for each layer
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| def init_layers(nn_architecture, seed = 99): | |
| np.random.seed(seed) | |
| number_of_layers = len(nn_architecture) | |
| params_values = {} | |
| for idx, layer in enumerate(nn_architecture): | |
| layer_idx = idx + 1 | |
| layer_input_size = layer["input_dim"] | |
| layer_output_size = layer["output_dim"] | |
| params_values['W' + str(layer_idx)] = np.random.randn( | |
| layer_output_size, layer_input_size) * 0.1 | |
| params_values['b' + str(layer_idx)] = np.random.randn( | |
| layer_output_size, 1) * 0.1 | |
| return params_values |
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