# LSTM Accelerator for Convolutional Object Identification
## 4 Experiments and Results
### Evaluation
\begin{table}
\begin{tabular}{l c c c} \hline \hline
**Methods** & **Accuracy (Percentage)** & **Loss (Cross-Entropy)** & **Time (s)** \\ \hline \multicolumn{4}{c}{**Epoch = 1**} \\ \hline C1 + C2 & 91 & 0.28 & 185 \\ C1 + C2 + B\_N & 95.9 & 0.123 & 186 \\ C1 + C2 + B\_N + LSTM & 93.9 & 0.205 & 113 \\ C1 + C2 + C3 & 94 & 0.208 & 228 \\ C1 + C2 + C3 + B\_N & 96.5 & 0.12 & 256 \\ C1 + C2 + C3 + B\_N + LSTM & 95.4 & 0.15 & 167 \\ \hline \multicolumn{4}{c}{**Epoch = 5**} \\ \hline C1 + C2 & 96.5 & 0.086 & 902 \\ C1 + C2 + B\_N & 97.5 & 0.07 & 903 \\ C1 + C2 + B\_N + LSTM & 97.4 & 0.081 & 640 \\ C1 + C2 + C3 & 96 & 0.106 & 982 \\ C1 + C2 + C3 + B\_N & 97.7 & 0.068 & 1027 \\ C1 + C2 + C3 + B\_N + LSTM & 97.4 & 0.076 & 677 \\ \hline \multicolumn{4}{c}{**Epoch = 10**} \\ \hline C1 + C2 & 97.4 & 0.083 & 1805 \\ C1 + C2 + B\_N & 97.5 & 0.067 & 1814 \\ C1 + C2 + B\_N + LSTM & 97.7 & 0.076 & 1222 \\ C1 + C2 + C3 & 97.5 & 0.084 & 2001 \\ C1 + C2 + C3 + B\_N & 98 & 0.061 & 2076 \\ C1 + C2 + C3 + B\_N + LSTM & 97.9 & 0.068 & 1272 \\ \hline \multicolumn{4}{c}{**Epoch = 20**} \\ \hline C1 + C2 & 97.9 & 0.069 & 3635 \\ C1 + C2 + B\_N & 98.3 & 0.063 & 3708 \\ C1 + C2 + B\_N + LSTM & 97.7 & 0.075 & 2354 \\ C1 + C2 + C3 & 97.7 & 0.083 & 4017 \\ C1 + C2 + C3 + B\_N & 98.1 & 0.061 & 4152 \\ C1 + C2 + C3 + B\_N + LSTM & 98 & 0.066 & 2576 \\ \hline \multicolumn{4}{c}{**Epoch = 40**} \\ \hline C1 + C2 & 98.1 & 0.076 & 7572 \\ C1 + C2 + B\_N & 98.2 & 0.059 & 7657 \\ C1 + C2 + B\_N + LSTM & 97.8 & 0.074 & 4688 \\ C1 + C2 + C3 & 97.9 & 0.098 & 8103 \\ C1 + C2 + C3 + B\_N & 98.3 & 0.068 & 8296 \\ C1 + C2 + C3 + B\_N + LSTM & 98 & 0.065 & 5152 \\ \hline \multicolumn{4}{c}{**Epoch = 50**} \\ \hline C1 + C2 & 98.1 & 0.075 & 9477 \\ C1 + C2 + B\_N & 98.2 & 0.059 & 10,058 \\ C1 + C2 + B\_N + LSTM & 98 & 0.075 & 5811 \\ C1 + C2 + C3 & 97.9 & 0.098 & 10,113 \\ C1 + C2 + C3 + B\_N & 98.3 & 0.07 & 10,384 \\ C1 + C2 + C3 + B\_N + LSTM & 98.1 & 0.066 & 6312 \\ \hline \end{tabular}
\end{table} 
Table 5: Accuracy, loss and time for different numbers of epochs (20% sample) for the MNIST dataset. \begin{table}
\begin{tabular}{l c c c} \hline \hline
**Methods** & **Accuracy (Percentage)** & **Loss (Cross-Entropy)** & **Time (s)** \\ \hline \multicolumn{4}{c}{**Epoch = 1**} \\ \hline C1 + C2 & 20 & 2.3 & 160 \\ C1 + C2 + B\_N & 32 & 2.43 & 121 \\ C1 + C2 + B\_N + LSTM & 24 & 2.49 & 70 \\ C1 + C2 + C3 & 23 & 2.21 & 150 \\ C1 + C2 + C3 + B\_N & 38 & 2.11 & 163 \\ C1 + C2 + C3 + B\_N + LSTM & 26 & 2.08 & 80 \\ \hline \multicolumn{4}{c}{**Epoch = 5**} \\ \hline C1 + C2 & 31 & 2.28 & 720 \\ C1 + C2 + B\_N & 42 & 1.52 & 553 \\ C1 + C2 + B\_N + LSTM & 38 & 1.83 & 357 \\ C1 + C2 + C3 & 31 & 1.82 & 726 \\ C1 + C2 + C3 + B\_N & 45 & 1.51 & 754 \\ C1 + C2 + C3 + B\_N + LSTM & 39 & 1.59 & 371 \\ \hline \multicolumn{4}{c}{**Epoch = 10**} \\ \hline C1 + C2 & 39 & 2.29 & 1239 \\ C1 + C2 + B\_N & 49 & 1.7 & 1171 \\ C1 + C2 + B\_N + LSTM & 42 & 1.71 & 562 \\ C1 + C2 + C3 & 43 & 1.82 & 1451 \\ C1 + C2 + C3 + B\_N & 48 & 1.71 & 1432 \\ C1 + C2 + C3 + B\_N + LSTM & 46 & 1.73 & 820 \\ \hline \multicolumn{4}{c}{**Epoch = 20**} \\ \hline C1 + C2 & 40 & 2.29 & 2240 \\ C1 + C2 + B\_N & 55 & 2.01 & 2302 \\ C1 + C2 + B\_N + LSTM & 52 & 2.1 & 1213 \\ C1 + C2 + C3 & 44 & 1.81 & 2581 \\ C1 + C2 + C3 + B\_N & 49 & 2.03 & 2766 \\ C1 + C2 + C3 + B\_N + LSTM & 46 & 2.03 & 1687 \\ \hline \multicolumn{4}{c}{**Epoch = 40**} \\ \hline C1 + C2 & 44 & 2.27 & 4476 \\ C1 + C2 + B\_N & 61 & 1.81 & 4595 \\ C1 + C2 + B\_N + LSTM & 58 & 1.96 & 2528 \\ C1 + C2 + C3 & 47 & 1.85 & 5171 \\ C1 + C2 + C3 + B\_N & 52 & 1.94 & 5662 \\ C1 + C2 + C3 + B\_N + LSTM & 50 & 1.89 & 3259 \\ \hline \multicolumn{4}{c}{**Epoch = 50**} \\ \hline C1 + C2 & 47 & 2.26 & 5712 \\ C1 + C2 + B\_N & 63 & 1.84 & 5772 \\ C1 + C2 + B\_N + LSTM & 62 & 1.91 & 3093 \\ C1 + C2 + C3 & 51 & 1.82 & 6662 \\ C1 + C2 + C3 + B\_N & 58 & 1.87 & 7107 \\ C1 + C2 + C3 + B\_N + LSTM & 54 & 1.79 & 4065 \\ \hline \hline \end{tabular}
\end{table} 
Table 6: Accuracy, loss and time for different numbers of epochs (10% sample) for the CIFAR10 dataset.