[ImgBot] Optimize images - #1
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*Total -- 4,927.03kb -> 4,005.98kb (18.69%) /Labs/Lab 1/Accuracy.png -- 2.34kb -> 0.48kb (79.3%) /Labs/Lab 1/val_training_loss.png -- 2.34kb -> 0.48kb (79.3%) /Labs/Lab 1/Training_Cost.png -- 2.34kb -> 0.48kb (79.3%) /Labs/Lab 3/Results_pics/Gradient_control.png -- 29.17kb -> 15.88kb (45.55%) /Labs/Lab 3/Results_pics/Gradient_batchnorm_working.png -- 29.91kb -> 18.99kb (36.52%) /Labs/Lab 3/Results_pics/sigma_e-3_batchnorm.png -- 91.41kb -> 66.48kb (27.28%) /Labs/Lab 3/Results_pics/sigma_e-4_batchnorm.png -- 88.96kb -> 65.49kb (26.38%) /Labs/Lab 3/Results_pics/Best_Lambda.png -- 88.52kb -> 66.09kb (25.34%) /Labs/Lab 2/Results_pics/Maxed_Reg_results1.png.png -- 154.50kb -> 117.52kb (23.93%) /Labs/Lab 3/Results_pics/sigma_e-1_NOBATCHNORM.png -- 74.90kb -> 57.28kb (23.53%) /Labs/Lab 3/Results_pics/Lab[50, 30, 20, 20, 10, 10, 10, 10], he=True, Sigma=None, do_batchNorm=True.png -- 132.36kb -> 101.74kb (23.13%) /Labs/Lab 3/Results_pics/sigma_e-1_batchnorm.png -- 72.21kb -> 55.74kb (22.81%) /Labs/Lab 3/Results_pics/sigma_e-3_NOBATCHNORM.png -- 63.08kb -> 48.79kb (22.65%) /Labs/Lab 1/Result_pics/train_val3.png -- 27.07kb -> 20.97kb (22.53%) /Labs/Lab 3/Results_pics/sigma_e-6.png -- 71.03kb -> 55.74kb (21.52%) /Labs/Lab 3/Results_pics/Lab[50,50,10], he=True, Sigma=None, do_batchNorm=True.png -- 135.44kb -> 106.46kb (21.39%) /Labs/Lab 3/Results_pics/Lab[50,50,10], he=True, Sigma=None, do_batchNorm=False.png -- 134.67kb -> 106.50kb (20.92%) /Labs/Lab 1/Result_pics/train_val2.png -- 28.50kb -> 22.55kb (20.88%) /Labs/Lab 1/Result_pics/train_loss2.png -- 28.17kb -> 22.30kb (20.83%) /Labs/Lab 3/Results_pics/No-Batch_normalisation_50_50_10_reg_0.005.png -- 122.06kb -> 97.00kb (20.53%) /Labs/Lab 2/Results_pics/lamda_4.977266776162049e-05.png -- 161.28kb -> 128.55kb (20.3%) /Labs/Lab 3/Results_pics/Lab[50, 30, 20, 20, 10, 10, 10, 10], he=True, Sigma=None, do_batchNorm=False.png -- 135.17kb -> 107.93kb (20.15%) /Labs/Lab 2/Results_pics/cyclical_1.png.png -- 126.04kb -> 100.94kb (19.91%) /Labs/Lab 2/Results_pics/cyclical_2.png.png -- 172.66kb -> 138.32kb (19.89%) /Labs/Lab 3/Results_pics/SGD_minibatch.png -- 127.53kb -> 102.67kb (19.49%) /Labs/Lab 3/Results_pics/sigma_e-4_NOBATCHNORM.png -- 68.69kb -> 55.37kb (19.4%) /Labs/Lab 1/Result_pics/train_loss3.png -- 27.50kb -> 22.22kb (19.21%) /Labs/Lab 3/Results_pics/Test[50,50,10], he=True, Sigma=None, do_batchNorm=False.png -- 148.51kb -> 120.22kb (19.05%) /Labs/Lab 3/Results_pics/Batch_normalisation_50_50_10_reg_0.005.png -- 125.22kb -> 102.18kb (18.4%) /Labs/Lab 3/Results_pics/50-50-10_noBatchNorm_reg-0.0.png -- 111.09kb -> 90.71kb (18.34%) /Labs/Lab 2/Results_pics/lamda_2.3685248353077484e-05.png -- 158.66kb -> 129.85kb (18.16%) /Labs/Lab 2/Results_pics/narrow_lamda_0.00014766421591256475.png -- 129.35kb -> 105.92kb (18.12%) /Labs/Lab 3/Results_pics/Lab3[50,50,10], he=True, Sigma=None, do_batchNorm=True.png -- 135.02kb -> 110.83kb (17.92%) /Labs/Lab 3/Results_pics/50-30-20-20-10-10-10-10_No_BatchNorm_heFALSE_reg-0.0.png -- 120.99kb -> 99.71kb (17.59%) /Labs/Lab 1/Result_pics/fig2.png -- 20.98kb -> 17.32kb (17.42%) /Labs/Lab 2/Results_pics/lamda_0.0001447906900385858.png -- 115.00kb -> 95.09kb (17.31%) /Labs/Lab 2/Results_pics/narrow_lamda_0.00014723136921651275.png -- 126.48kb -> 104.90kb (17.06%) /Labs/Lab 3/Results_pics/50-50-10_BatchNorm_heFALSE_reg-0.0.png -- 106.82kb -> 88.91kb (16.77%) /Labs/Lab 1/Result_pics/Fig3.png -- 21.52kb -> 17.95kb (16.61%) /Labs/Lab 3/Results_pics/debug_batchnorm-reg0.005_50, 30, 20,20, 10, 10, 10, 10.png -- 138.20kb -> 115.39kb (16.51%) /Labs/Lab 2/Results_pics/narrow_lamda_0.00016984897921736686.png -- 123.71kb -> 103.64kb (16.23%) /Labs/Lab 3/Results_pics/50-30-20-20-10-10-10-10_BatchNorm_heTrue_reg-0.05.png -- 128.50kb -> 107.88kb (16.05%) /Labs/Lab 1/Result_pics/fig1.png -- 35.20kb -> 29.60kb (15.91%) /Labs/Lab 2/Results_pics/lamda_7.20089793117085e-05.png -- 109.42kb -> 92.46kb (15.51%) /Labs/Lab 2/Results_pics/lamda_3.098227047352439e-05.png -- 112.76kb -> 95.46kb (15.35%) /Labs/Lab 1/Result_pics/Fig4.png -- 21.58kb -> 18.38kb (14.84%) /Labs/Lab 2/Results_pics/Maxed_Reg_results.png.png -- 107.77kb -> 92.46kb (14.21%) /Labs/Lab 2/Results_pics/lamda_1.3294362503767357e-05.png -- 105.86kb -> 91.24kb (13.81%) /Labs/Lab 3/Results_pics/50-30-20-20-10-10-10-10_BatchNorm_heFALSE_reg-0.0.png -- 107.68kb -> 93.33kb (13.33%) /Labs/Lab 1/Result_pics/train_val4.png -- 21.36kb -> 18.54kb (13.22%) /Labs/Lab 1/Result_pics/train_loss4.png -- 26.72kb -> 23.35kb (12.62%) /Labs/Lab 3/Results_pics/50-30-20-20-10-10-10-10_No_BatchNorm_heTrue_reg-0.05.png -- 73.94kb -> 65.34kb (11.63%) /Labs/Lab 1/Result_pics/train_loss1.png -- 46.97kb -> 42.30kb (9.95%) /Labs/Lab 1/Result_pics/train_val1.png -- 47.31kb -> 42.67kb (9.8%) /Labs/Lab 1/Result_pics/settings2.png -- 53.58kb -> 49.11kb (8.33%) /Labs/Lab 1/Result_pics/settings4.png -- 43.53kb -> 40.17kb (7.72%) /Labs/Lab 1/Result_pics/settings3.png -- 52.71kb -> 49.01kb (7.01%) /Labs/Lab 1/Result_pics/settings1.png -- 52.70kb -> 49.08kb (6.88%) Signed-off-by: ImgBotApp <ImgBotHelp@gmail.com>
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Beep boop. Your images are optimized!
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