Created
April 15, 2020 04:33
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MLP ODE Timeseries
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| w = np.ones([m,n], np.float32)*init_arr_item | |
| v = np.ones([M,m], np.float32)*init_arr_item | |
| b_j = np.zeros([m], np.float32)*init_arr_item | |
| b_k = np.zeros([M], np.float32)*init_arr_item | |
| z_pred = np.zeros([y.shape[0], m], np.float32) | |
| y_pred = np.zeros([y.shape[0], M], np.float32) | |
| E = np.zeros(M, np.float32) | |
| v_new = np.zeros([M,m], np.float32) | |
| delta_k = np.zeros(M, np.float32) | |
| w_new = np.zeros([m,n], np.float32) | |
| delta_j = np.zeros(m, np.float32) |
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