readme updated
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@ -55,8 +55,6 @@ class SelfTrainExperiment:
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net = Net(self.net_input_size, self.net_hidden_size, self.net_out_size, net_name)
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for _ in range(self.epochs):
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input_data = net.input_weight_matrix()
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target_data = net.create_target_weights(input_data)
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net.self_train(1, self.log_step_size, self.net_learning_rate)
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print(f"\nLast weight matrix (epoch: {self.epochs}):\n{net.input_weight_matrix()}\nLossHistory: {net.loss_history[-10:]}")
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@ -113,5 +111,6 @@ def run_ST_experiment(population_size, batch_size, net_input_size, net_hidden_si
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summary_fixpoint_experiment(runs, population_size, epochs, experiments, net_learning_rate, summary_directory_name,
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summary_pre_title)
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if __name__ == '__main__':
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raise NotImplementedError('Test this here!!!')
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