joyvan
6 years ago
| 629 | 629 | "outputs": [], |
| 630 | 630 | "source": [ |
| 631 | 631 | "a = [10, 11, 12]\n", |
| 632 | "a.append(['a','b'])\n", | |
| 632 | "a.append(['a', 'b'])\n", | |
| 633 | 633 | "print (a)" |
| 634 | 634 | ] |
| 635 | 635 | }, |
| 648 | 648 | "outputs": [], |
| 649 | 649 | "source": [ |
| 650 | 650 | "a = [10, 11, 12]\n", |
| 651 | "a.extend(['a','b'])\n", | |
| 651 | "a.extend(['a', 'b'])\n", | |
| 652 | 652 | "print (a)" |
| 653 | 653 | ] |
| 654 | 654 | }, |
| 1274 | 1274 | "上面例子中的这两条语句：\n", |
| 1275 | 1275 | "\n", |
| 1276 | 1276 | "```python\n", |
| 1277 | "\n", | |
| 1277 | 1278 | "print(\"Hey!\") \n", |
| 1278 | 1279 | "print(\"x is positive\")\n", |
| 1279 | 1280 | "\n", |
| 393 | 393 | }, |
| 394 | 394 | { |
| 395 | 395 | "cell_type": "code", |
| 396 | "execution_count": null, | |
| 396 | "execution_count": 5, | |
| 397 | 397 | "metadata": {}, |
| 398 | 398 | "outputs": [], |
| 399 | 399 | "source": [ |
| 497 | 497 | }, |
| 498 | 498 | { |
| 499 | 499 | "cell_type": "code", |
| 500 | "execution_count": null, | |
| 500 | "execution_count": 6, | |
| 501 | 501 | "metadata": {}, |
| 502 | 502 | "outputs": [], |
| 503 | 503 | "source": [ |
| 570 | 570 | }, |
| 571 | 571 | { |
| 572 | 572 | "cell_type": "code", |
| 573 | "execution_count": null, | |
| 574 | "metadata": {}, | |
| 575 | "outputs": [], | |
| 573 | "execution_count": 7, | |
| 574 | "metadata": {}, | |
| 575 | "outputs": [ | |
| 576 | { | |
| 577 | "data": { | |
| 578 | "application/vnd.jupyter.widget-view+json": { | |
| 579 | "model_id": "3188bf852f504283a32ec8d9c36f8df6", | |
| 580 | "version_major": 2, | |
| 581 | "version_minor": 0 | |
| 582 | }, | |
| 583 | "text/plain": [ | |
| 584 | "HTML(value='<h1>准备数据</h1>', placeholder='')" | |
| 585 | ] | |
| 586 | }, | |
| 587 | "metadata": {}, | |
| 588 | "output_type": "display_data" | |
| 589 | }, | |
| 590 | { | |
| 591 | "data": { | |
| 592 | "application/vnd.jupyter.widget-view+json": { | |
| 593 | "model_id": "f699bee0823e4d44a63d633ffb325a37", | |
| 594 | "version_major": 2, | |
| 595 | "version_minor": 0 | |
| 596 | }, | |
| 597 | "text/plain": [ | |
| 598 | "HBox(children=(VBox(children=(FloatSlider(value=0.0, continuous_update=False, description='每个 batch 内增强图片的比例:'…" | |
| 599 | ] | |
| 600 | }, | |
| 601 | "metadata": {}, | |
| 602 | "output_type": "display_data" | |
| 603 | }, | |
| 604 | { | |
| 605 | "data": { | |
| 606 | "application/vnd.jupyter.widget-view+json": { | |
| 607 | "model_id": "20c9abfac7f942d09a0d899bd244156a", | |
| 608 | "version_major": 2, | |
| 609 | "version_minor": 0 | |
| 610 | }, | |
| 611 | "text/plain": [ | |
| 612 | "HTML(value='<h1>构建模型</h1>', placeholder='')" | |
| 613 | ] | |
| 614 | }, | |
| 615 | "metadata": {}, | |
| 616 | "output_type": "display_data" | |
| 617 | }, | |
| 618 | { | |
| 619 | "data": { | |
| 620 | "application/vnd.jupyter.widget-view+json": { | |
| 621 | "model_id": "0d8aee241fb7434ab7cdbbab38706072", | |
| 622 | "version_major": 2, | |
| 623 | "version_minor": 0 | |
| 624 | }, | |
| 625 | "text/plain": [ | |
| 626 | "HBox(children=(VBox(children=(IntSlider(value=1, description='隐藏层数目:', layout=Layout(width='400px'), max=3, st…" | |
| 627 | ] | |
| 628 | }, | |
| 629 | "metadata": {}, | |
| 630 | "output_type": "display_data" | |
| 631 | }, | |
| 632 | { | |
| 633 | "data": { | |
| 634 | "application/vnd.jupyter.widget-view+json": { | |
| 635 | "model_id": "4ee8896dd7f041fe8e1760a4039a7670", | |
| 636 | "version_major": 2, | |
| 637 | "version_minor": 0 | |
| 638 | }, | |
| 639 | "text/plain": [ | |
| 640 | "HTML(value='<h1>训练模型</h1>', placeholder='')" | |
| 641 | ] | |
| 642 | }, | |
| 643 | "metadata": {}, | |
| 644 | "output_type": "display_data" | |
| 645 | }, | |
| 646 | { | |
| 647 | "data": { | |
| 648 | "application/vnd.jupyter.widget-view+json": { | |
| 649 | "model_id": "6d3a35c6923c4f19b69d82e46942219e", | |
| 650 | "version_major": 2, | |
| 651 | "version_minor": 0 | |
| 652 | }, | |
| 653 | "text/plain": [ | |
| 654 | "SelectionSlider(continuous_update=False, description='训练轮数:', layout=Layout(width='400px'), options=(5, 10, 20…" | |
| 655 | ] | |
| 656 | }, | |
| 657 | "metadata": {}, | |
| 658 | "output_type": "display_data" | |
| 659 | }, | |
| 660 | { | |
| 661 | "data": { | |
| 662 | "application/vnd.jupyter.widget-view+json": { | |
| 663 | "model_id": "1eed44ce2b764c2aa5a5083763a6e070", | |
| 664 | "version_major": 2, | |
| 665 | "version_minor": 0 | |
| 666 | }, | |
| 667 | "text/plain": [ | |
| 668 | "Button(button_style='info', description='开始训练', style=ButtonStyle(), tooltip='点击开始训练')" | |
| 669 | ] | |
| 670 | }, | |
| 671 | "metadata": {}, | |
| 672 | "output_type": "display_data" | |
| 673 | }, | |
| 674 | { | |
| 675 | "data": { | |
| 676 | "application/vnd.jupyter.widget-view+json": { | |
| 677 | "model_id": "b4ff14fa4c61438d9e5d8ffa608e99a1", | |
| 678 | "version_major": 2, | |
| 679 | "version_minor": 0 | |
| 680 | }, | |
| 681 | "text/plain": [ | |
| 682 | "Output()" | |
| 683 | ] | |
| 684 | }, | |
| 685 | "metadata": {}, | |
| 686 | "output_type": "display_data" | |
| 687 | } | |
| 688 | ], | |
| 576 | 689 | "source": [ |
| 577 | 690 | "mlp = NN()\n", |
| 578 | 691 | "mlp.build_model()\n", |
| 787 | 900 | "metadata": {}, |
| 788 | 901 | "outputs": [], |
| 789 | 902 | "source": [] |
| 903 | }, | |
| 904 | { | |
| 905 | "cell_type": "code", | |
| 906 | "execution_count": null, | |
| 907 | "metadata": {}, | |
| 908 | "outputs": [], | |
| 909 | "source": [] | |
| 790 | 910 | } |
| 791 | 911 | ], |
| 792 | 912 | "metadata": { |
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