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Run 1 learning_rate = 0.003 epochs = 400 batch_size = 2000 validation_split = 0.2 model_eg1 (dense 32, 32) krk50kv1.npz Layer (type) Output Shape Param #

flatten (Flatten) (None, 960) 0

dense (Dense) (None, 32) 30752

dense_1 (Dense) (None, 32) 1056

dense_2 (Dense) (None, 1) 33

Total params: 31,841 mse: 113154.1641 - val_mse: 148542.75 ytrain predictions diff 1973 2005.781 -32 1981 2012.247 -31 1977 2014.430 -37 -1972 -2043.264 71 -1978 -2060.008 82 -1972 -2221.044 249 -1980 -1409.701 -570 -1980 -1664.374 -315 -1982 -1586.199 -395 1977 2009.961 -32 -1978 -1528.886 -449 1983 1993.303 -10 -1976 -1646.777 -329 1977 1987.077 -10 1977 1984.678 -7 0 -1068.051 1068 -1976 -1918.178 -57 1987 1982.353 4 -1970 -1583.067 -386

Run 2 model_eg2 (dense 32, 32) krk50kv1.npz mean_squared_error: 69057.0547 - val_loss: 107442.3438 ytrain predictions 1973 1969.419 3 1981 1987.052 -6 1977 1969.907 7 -1972 -1895.333 -76 -1978 -1777.251 -200 -1972 -1847.966 -124 -1980 -1790.985 -189 -1980 -1762.532 -217 -1982 -1904.790 -77 1977 1985.627 -8 -1978 -1869.854 -108 1983 2008.289 -25 -1976 -1885.218 -90 1977 2002.369 -25 1977 1954.418 22 0 -1028.305 1028 -1976 -2063.767 87

Run 2 model_eg2b mean_squared_error: 5572.3315 - val_loss: 48369.4688 ytrain predictions 1973 1968.392 4 1981 2000.363 -19 1977 1970.103 6 -1972 -1886.526 -85 -1978 -1973.035 -4 -1972 -1962.399 -9 -1980 -1743.015 -236 -1980 -1924.465 -55 -1982 -2006.609 24 1977 1985.466 -8 -1978 -1980.343 2 1983 1995.802 -12 -1976 -2034.932 58 1977 2001.794 -24 1977 1968.076 8 0 -74.842 74

model_eg2c mean_squared_error: 509.6020 - val_loss: 39263.4961 ytrain predictions 1973 1970.433 2 1981 1969.755 11 1977 1981.097 -4 -1972 -1982.642 10 -1978 -1988.097 10 -1972 -1985.843 13 -1980 -1952.499 -27 -1980 -1963.881 -16 -1982 -1983.528 1 1977 1969.848 7 -1978 -1992.137 14 1983 1974.067 8 -1976 -1990.173 14 1977 1963.420 13 1977 1960.157 16 0 92.902 -92

model_eg3 78,657 parameters Layer (type) Output Shape Param #

conv2d (Conv2D) (None, 8, 8, 64) 8704

max_pooling2d (MaxPooling2D) (None, 4, 4, 64) 0

conv2d_1 (Conv2D) (None, 4, 4, 64) 36928

max_pooling2d_1 (MaxPooling2 (None, 2, 2, 64) 0

flatten (Flatten) (None, 256) 0

dense (Dense) (None, 128) 32896

dense_1 (Dense) (None, 1) 129

Total params: 78,657

mean_squared_error: 4103.9150 - val_loss: 6576.5923 mean_squared_error: 5029.7988 - val_loss: 10341.5107 ytrain predictions 1973 1968.211 4 1981 1980.398 0 1977 1994.773 -17 -1972 -2052.413 80 -1978 -1968.996 -9 -1972 -1986.971 14 -1980 -2009.786 29 -1980 -2195.557 215 -1982 -2124.796 142 1977 1962.718 14 -1978 -1967.611 -10

1x (divide y/2000) mean_squared_error: 0.0032 - val_loss: 0.0157 ytrain predictions 0.9865 1.012 0 0.9905 0.995 0 0.9885 0.999 0 -0.986 -0.993 0 -0.989 -0.984 0 -0.986 -0.984 0 -0.99 -0.995 0 -0.99 -1.001 0 -0.991 -0.997 0 0.9885 1.009 0 -0.989 -0.996 0 0.9915 0.980 0 -0.988 -1.013 0 0.9885 1.008 0 0.9885 0.894 0 0.0 0.079 0

3x mean_squared_error: 0.0011 - val_loss: 0.0020 ytrain predictions 0.9865 0.895 0 0.9905 0.983 0 0.9885 0.993 0 -0.986 -0.962 0 -0.989 -0.968 0 -0.986 -0.992 0 -0.99 -0.966 0 -0.99 -0.967 0 -0.991 -0.953 0 0.9885 1.003 0 -0.989 -0.995 0 0.9915 0.992 0 -0.988 -0.979 0 0.9885 1.003 0 0.9885 1.013 0 0.0 0.036 0

3b Layer (type) Output Shape Param #

conv2d (Conv2D) (None, 8, 8, 128) 17408

max_pooling2d (MaxPooling2D) (None, 4, 4, 128) 0

conv2d_1 (Conv2D) (None, 4, 4, 128) 147584

max_pooling2d_1 (MaxPooling2 (None, 2, 2, 128) 0

flatten (Flatten) (None, 512) 0

dense (Dense) (None, 128) 65664

dense_1 (Dense) (None, 1) 129

Total params: 230,785

mean_squared_error: 2273.7791 - val_loss: 4912.7554

B1 Layer (type) Output Shape Param #

flatten (Flatten) (None, 960) 0

dense (Dense) (None, 32) 30752

dense_1 (Dense) (None, 32) 1056

dense_2 (Dense) (None, 1) 33

Total params: 31,841 mean_squared_error: 107455.5391 - val_loss: 132832.3906

eg_2 Layer (type) Output Shape Param #

flatten (Flatten) (None, 960) 0

dense (Dense) (None, 128) 123008

dense_1 (Dense) (None, 128) 16512

dense_2 (Dense) (None, 128) 16512

dense_3 (Dense) (None, 1) 129

Total params: 156,161 mean_squared_error: 4432.8013 - val_loss: 53209.0117

eg_2b Layer (type) Output Shape Param #

flatten (Flatten) (None, 960) 0

dense (Dense) (None, 256) 246016

dense_1 (Dense) (None, 256) 65792

dense_2 (Dense) (None, 128) 32896

dense_3 (Dense) (None, 1) 129

Total params: 344,833

mean_squared_error: 3493.4187 - val_loss: 33134.898

eg_2c mean_squared_error: 25.5725 - val_loss: 47290.2734 Layer (type) Output Shape Param #

flatten (Flatten) (None, 960) 0

dense (Dense) (None, 512) 492032

dense_1 (Dense) (None, 512) 262656

dense_2 (Dense) (None, 256) 131328

dense_3 (Dense) (None, 128) 32896

dense_4 (Dense) (None, 1) 129

Total params: 919,041

eg3 mean_squared_error: 1179.9730 - val_loss: 2786.7029 Layer (type) Output Shape Param #

conv2d (Conv2D) (None, 8, 8, 64) 8704

max_pooling2d (MaxPooling2D) (None, 4, 4, 64) 0

conv2d_1 (Conv2D) (None, 4, 4, 64) 36928

max_pooling2d_1 (MaxPooling2 (None, 2, 2, 64) 0

flatten (Flatten) (None, 256) 0

dense (Dense) (None, 128) 32896

dense_1 (Dense) (None, 1) 129

Total params: 78,657

eg_3b mean_squared_error: 1047.7142 - val_loss: 4980.2261 Layer (type) Output Shape Param #

conv2d (Conv2D) (None, 8, 8, 128) 17408

max_pooling2d (MaxPooling2D) (None, 4, 4, 128) 0

conv2d_1 (Conv2D) (None, 4, 4, 128) 147584

max_pooling2d_1 (MaxPooling2 (None, 2, 2, 128) 0

flatten (Flatten) (None, 512) 0

dense (Dense) (None, 128) 65664

dense_1 (Dense) (None, 1) 129

Total params: 230,785

eg_3c mean_squared_error: 766.1753 - val_loss: 3614.988 Layer (type) Output Shape Param #

conv2d (Conv2D) (None, 8, 8, 64) 8704

max_pooling2d (MaxPooling2D) (None, 4, 4, 64) 0

conv2d_1 (Conv2D) (None, 4, 4, 64) 36928

max_pooling2d_1 (MaxPooling2 (None, 2, 2, 64) 0

conv2d_2 (Conv2D) (None, 2, 2, 64) 36928

max_pooling2d_2 (MaxPooling2 (None, 1, 1, 64) 0

flatten (Flatten) (None, 64) 0

dense (Dense) (None, 128) 8320

dense_1 (Dense) (None, 1) 129

Total params: 91,009

bin2 loss: 3.8328e-05 - accuracy: 1.0000 - val_loss: 7.3970 - val_accuracy: 0.5044 Layer (type) Output Shape Param #

conv2d (Conv2D) (None, 8, 8, 128) 17408

max_pooling2d (MaxPooling2D) (None, 4, 4, 128) 0

conv2d_1 (Conv2D) (None, 4, 4, 128) 147584

max_pooling2d_1 (MaxPooling2 (None, 2, 2, 128) 0

flatten (Flatten) (None, 512) 0

dense (Dense) (None, 128) 65664

dense_1 (Dense) (None, 33) 4257

Total params: 234,913

bin2b after epoch 78: loss: 0.2875 - accuracy: 0.9115 - val_loss: 2.3416 - val_accuracy: 0.4670 Layer (type) Output Shape Param #

conv2d (Conv2D) (None, 8, 8, 128) 17408

max_pooling2d (MaxPooling2D) (None, 4, 4, 128) 0

conv2d_1 (Conv2D) (None, 4, 4, 128) 147584

max_pooling2d_1 (MaxPooling2 (None, 2, 2, 128) 0

flatten (Flatten) (None, 512) 0

dense (Dense) (None, 33) 16929

Total params: 181,921

bin_2c loss: 0.8667 - accuracy: 0.6552 - val_loss: 1.8880 - val_accuracy: 0.4361 Layer (type) Output Shape Param #

conv2d (Conv2D) (None, 8, 8, 64) 8704

max_pooling2d (MaxPooling2D) (None, 4, 4, 64) 0

conv2d_1 (Conv2D) (None, 4, 4, 32) 18464

max_pooling2d_1 (MaxPooling2 (None, 2, 2, 32) 0

flatten (Flatten) (None, 128) 0

dense (Dense) (None, 33) 4257

Total params: 31,425