Merge pull request #1 from pankhurivanjani/master

Adding results of training different neural networks with different data types
TheRoboticsClub · Aug 30, 2020 · ab68775 · ab68775
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diff --git a/.../URM_point_255_var_2_100000_80_120_Modeled/complex/10_False_tanh_mean_squared_error_10.h5 b/.../URM_point_255_var_2_100000_80_120_Modeled/complex/10_False_tanh_mean_squared_error_10.h5
diff --git a/...2_100000_80_120_Modeled/complex/10_False_tanh_mean_squared_error_10_history.png b/...2_100000_80_120_Modeled/complex/10_False_tanh_mean_squared_error_10_history.png
diff --git a/...00000_80_120_Modeled/complex/10_False_tanh_mean_squared_error_10_properties.png b/...00000_80_120_Modeled/complex/10_False_tanh_mean_squared_error_10_properties.png
diff --git a/...55_var_2_100000_80_120_Modeled/complex/10_False_tanh_mean_squared_error_10_properties.txt b/...55_var_2_100000_80_120_Modeled/complex/10_False_tanh_mean_squared_error_10_properties.txt
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+Model: "sequential"
+_________________________________________________________________
+Layer (type)                 Output Shape              Param #   
+=================================================================
+time_distributed (TimeDistri (None, 20, 80)            240       
+_________________________________________________________________
+time_distributed_1 (TimeDist (None, 20, 20)            1620      
+_________________________________________________________________
+time_distributed_2 (TimeDist (None, 20, 10)            210       
+_________________________________________________________________
+flatten (Flatten)            (None, 200)               0         
+_________________________________________________________________
+dense_3 (Dense)              (None, 2)                 402       
+=================================================================
+Total params: 2,472
+Trainable params: 2,472
+Non-trainable params: 0
+_________________________________________________________________
+
+
+-----------------------------------------------------------------------------------
+
+Patience: 10
+Epochs: 15
+Execution time: 284.8