\n", + " | filename | \n", + "label | \n", + "embedding | \n", + "
---|---|---|---|
0 | \n", + "1.jpg | \n", + "1 | \n", + "[-0.13916254043579102, 0.06765440106391907, 0.... | \n", + "
1 | \n", + "2.jpg | \n", + "1 | \n", + "[-0.10024195909500122, 0.060482949018478394, 0... | \n", + "
2 | \n", + "3.jpg | \n", + "1 | \n", + "[-0.11690331250429153, -0.0040309554897248745,... | \n", + "
3 | \n", + "4.jpg | \n", + "1 | \n", + "[-0.1615755558013916, 0.07210954278707504, 0.0... | \n", + "
4 | \n", + "5.jpg | \n", + "1 | \n", + "[-0.057057902216911316, 0.01846969872713089, 0... | \n", + "
5 | \n", + "12_0_0_20170110215739155.jpg | \n", + "0 | \n", + "[-0.0820397362112999, 0.027357343584299088, 0.... | \n", + "
6 | \n", + "14_0_1_20170117141604244.jpg | \n", + "0 | \n", + "[-0.21727801859378815, 0.1069168969988823, 0.0... | \n", + "
7 | \n", + "14_1_3_20170104013523266.jpg | \n", + "0 | \n", + "[-0.19818995893001556, 0.016170527786016464, 0... | \n", + "
8 | \n", + "15_0_0_20170110225440579.jpg | \n", + "0 | \n", + "[-0.10357315838336945, 0.09260284155607224, 0.... | \n", + "
9 | \n", + "17_1_4_20170104001810179.jpg | \n", + "0 | \n", + "[-0.10423953086137772, 0.1865963637828827, 0.0... | \n", + "
MLPClassifier(hidden_layer_sizes=(65,), max_iter=100, random_state=42)In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook.
MLPClassifier(hidden_layer_sizes=(65,), max_iter=100, random_state=42)
MLPClassifier(hidden_layer_sizes=(17,), max_iter=100, random_state=42)In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook.
MLPClassifier(hidden_layer_sizes=(17,), max_iter=100, random_state=42)