Graph of the history of the number of layers of deep learning and the change in accuracy

Graph of development of deep learning

As a graph showing the development of deep learning, I often see a graph showing the change in accuracy and the transition of the number of layers in ILSVRC, so I made it.

ilsvrc_winner.png

python code

import matplotlib.pyplot as plt


def plot_res():
    plt.rcParams["font.family"] = "Arial"
    plt.rcParams["font.size"] = 18
    fig = plt.figure()

    c = ["skyblue", "blue"] * 5
    depths = [8, 8, 22, 152, 205]
    years = list(range(2012, 2017))
    errors = [16.4, 11.7, 7.3, 6.7, 2.9]
    a = 0.2

    ax1 = fig.add_subplot(111)
    depth_bars = ax1.bar(years, depths, color=c[0], tick_label=years)
    for year, depth in zip(years, depths):
        ax1.text(year, depth, depth if depth < 200 else "200>", ha="center", va="bottom", color="black", fontsize=14)
    ax1.set_ylim(0, 230)
    ax1.set_ylabel("Depth of Neural Networks")

    ax2 = ax1.twinx()
    error_line = ax2.plot(years, errors, color=c[1], linewidth=2)
    for year, error in zip(years, errors):
        ax2.text(year - a, error + 1, error, color="black", fontsize=14)
    ax2.set_ylim(0, 20)
    ax2.set_ylabel("Error Rate")

    plt.title("Winner in ILSVRC")
    plt.tight_layout()
    plt.show()

plot_res()

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