From 46aa52d81f9afb5d2f623cb50f01de9bdaa7d2a5 Mon Sep 17 00:00:00 2001 From: jung-geun Date: Mon, 10 Jul 2023 17:05:59 +0900 Subject: [PATCH] =?UTF-8?q?23-07-10=20mnist=2046%=20=EB=8B=AC=EC=84=B1?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- mnist.py | 18 +- mnist_tf.py | 19 +- plt.ipynb | 11 +- pso/__init__.py | 4 +- pso/optimizer.py | 39 ++- pso/optimizer_target.py | 524 ++++++++++++++++++++++++++++++++++++++++ readme.md | 115 ++++----- weights.h5 | Bin 0 -> 400128 bytes 8 files changed, 650 insertions(+), 80 deletions(-) create mode 100644 pso/optimizer_target.py create mode 100644 weights.h5 diff --git a/mnist.py b/mnist.py index 7e50292..ea76e51 100644 --- a/mnist.py +++ b/mnist.py @@ -5,12 +5,15 @@ os.environ["TF_CPP_MIN_LOG_LEVEL"] = "2" import gc +from tensorflow import keras from keras.datasets import mnist from keras.layers import Conv2D, Dense, Dropout, Flatten, MaxPooling2D from keras.models import Sequential from pso import Optimizer +# from pso import Optimizer_Test + def get_data(): (x_train, y_train), (x_test, y_test) = mnist.load_data() @@ -27,8 +30,11 @@ def get_data(): def get_data_test(): (x_train, y_train), (x_test, y_test) = mnist.load_data() + x_test = x_test / 255.0 x_test = x_test.reshape((10000, 28, 28, 1)) + print(f"x_test : {x_test[0].shape} | y_test : {y_test[0].shape}") + return x_test, y_test @@ -54,7 +60,6 @@ x_train, y_train = get_data_test() loss = [ "mse", - "categorical_crossentropy", "sparse_categorical_crossentropy", "binary_crossentropy", "kullback_leibler_divergence", @@ -66,18 +71,21 @@ loss = [ "mean_absolute_percentage_error", ] +# target = make_model() +# target.load_weights("weights.h5") + if __name__ == "__main__": try: pso_mnist = Optimizer( model, - loss=loss[2], - n_particles=100, + loss=loss[1], + n_particles=75, c0=0.35, c1=0.7, - w_min=0.5, + w_min=0.45, w_max=0.9, negative_swarm=0.2, - mutation_swarm=0.1, + mutation_swarm=0.2, ) best_score = pso_mnist.fit( diff --git a/mnist_tf.py b/mnist_tf.py index 8e19b25..70e60ee 100644 --- a/mnist_tf.py +++ b/mnist_tf.py @@ -60,15 +60,30 @@ model = make_model() x_train, y_train, x_test, y_test = get_data() model.compile( - optimizer="sgd", loss="sparse_categorical_crossentropy", metrics=["accuracy"] + optimizer="adam", loss="sparse_categorical_crossentropy", metrics=["accuracy"] ) +# model.compile(optimizer="adam", loss="mse", metrics=["accuracy"]) + print("Training model...") -model.fit(x_train, y_train, epochs=1000, batch_size=128, verbose=1) +model.fit(x_train, y_train, epochs=100, batch_size=128, verbose=1) print("Evaluating model...") model.evaluate(x_test, y_test, verbose=1) weights = model.get_weights() +for w in weights: + print(w.shape) + print(w) + print(w.min(), w.max()) + +model.save_weights("weights.h5") + +# %% +for w in weights: + print(w.shape) + print(w) + print(w.min(), w.max()) + # %% diff --git a/plt.ipynb b/plt.ipynb index 8ad543d..fa24ab8 100644 --- a/plt.ipynb +++ b/plt.ipynb @@ -2,20 +2,20 @@ "cells": [ { "cell_type": "code", - "execution_count": 90, + "execution_count": 1, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "(60, 200)\n", - "(60, 100) (60, 100)\n" + "(201, 180)\n", + "(201, 90) (201, 90)\n" ] }, { "data": { - "image/png": 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", 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", 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" ] @@ -25,7 +25,6 @@ } ], "source": [ - "import gc\n", "from time import sleep\n", "\n", "import matplotlib.pyplot as plt\n", @@ -34,7 +33,7 @@ "\n", "%matplotlib inline\n", "\n", - "data = pd.read_csv(\"result/mnist/07-08-23-48_100_200_0.35_0.6_0.5_acc.csv\", header=None)\n", + "data = pd.read_csv(\"result/mnist/07-09-23-17_75_200_0.35_0.7_0.45_acc.csv\", header=None)\n", "print(data.shape)\n", "\n", "loss = pd.DataFrame()\n", diff --git a/pso/__init__.py b/pso/__init__.py index a1fac7a..7b495c7 100644 --- a/pso/__init__.py +++ b/pso/__init__.py @@ -1,6 +1,8 @@ from .optimizer import Optimizer from .particle import Particle +from .optimizer_target import Optimizer_Target __all__ = [ 'Optimizer', - 'Particle' + 'Particle', + 'Optimizer_Target' ] \ No newline at end of file diff --git a/pso/optimizer.py b/pso/optimizer.py index cf8f42b..ae51dd5 100644 --- a/pso/optimizer.py +++ b/pso/optimizer.py @@ -15,9 +15,9 @@ gpus = tf.config.experimental.list_physical_devices("GPU") if gpus: try: # tf.config.experimental.set_visible_devices(gpus[0], "GPU") - print(tf.config.experimental.get_visible_devices("GPU")) + # print(tf.config.experimental.get_visible_devices("GPU")) tf.config.experimental.set_memory_growth(gpus[0], True) - print("set memory growth") + # print("set memory growth") except RuntimeError as e: print(e) @@ -39,8 +39,8 @@ class Optimizer: w_max=1.5, negative_swarm: float = 0, mutation_swarm: float = 0, - np_seed: int = 777, - tf_seed: int = 777, + np_seed: int = None, + tf_seed: int = None, ): """ particle swarm optimization @@ -55,9 +55,13 @@ class Optimizer: w_max (float): 최대 관성 수치 negative_swarm (float): 최적해와 반대로 이동할 파티클 비율 - 0 ~ 1 사이의 값 mutation_swarm (float): 돌연변이가 일어날 확률 + np_seed (int, optional): numpy seed. Defaults to None. + tf_seed (int, optional): tensorflow seed. Defaults to None. """ - np.random.seed(np_seed) - tf.random.set_seed(tf_seed) + if np_seed is not None: + np.random.seed(np_seed) + if tf_seed is not None: + tf.random.set_seed(tf_seed) self.model = model # 모델 구조 self.loss = loss # 손실함수 @@ -85,7 +89,7 @@ class Optimizer: m = keras.models.model_from_json(model.to_json()) init_weights = m.get_weights() w_, sh_, len_ = self._encode(init_weights) - w_ = np.random.uniform(-1, 2, len(w_)) + w_ = np.random.uniform(-3, 3, len(w_)) m.set_weights(self._decode(w_, sh_, len_)) m.compile(loss=self.loss, optimizer="sgd", metrics=["accuracy"]) self.particles[i] = Particle( @@ -210,7 +214,7 @@ class Optimizer: epochs : int, save : bool - True : save, False : not save save_path : str ex) "./result", - renewal : str ex) "acc" or "loss", + renewal : str ex) "acc" or "loss" or "both", empirical_balance : bool - True : Dispersion : bool - True : g_best 의 값을 분산시켜 전역해를 찾음, False : g_best 의 값만 사용 check_point : int - 저장할 위치 - None : 저장 안함 @@ -247,6 +251,11 @@ class Optimizer: self.g_best_score[1] = local_score[0] self.g_best = p.get_best_weights() self.g_best_ = p.get_best_weights() + elif renewal == "both": + if local_score[1] > self.g_best_score[0]: + self.g_best_score[0] = local_score[1] + self.g_best = p.get_best_weights() + self.g_best_ = p.get_best_weights() if local_score[0] == None: local_score[0] = np.inf @@ -374,7 +383,19 @@ class Optimizer: epochs_pbar.set_description( f"best {self.g_best_score[0]:.4f} | {self.g_best_score[1]:.4f}" ) - + elif renewal == "both": + if score[1] > self.g_best_score[0]: + self.g_best_score[0] = score[1] + self.g_best = self.particles[i].get_best_weights() + epochs_pbar.set_description( + f"best {self.g_best_score[0]:.4f} | {self.g_best_score[1]:.4f}" + ) + if score[0] < self.g_best_score[1]: + self.g_best_score[1] = score[0] + self.g_best = self.particles[i].get_best_weights() + epochs_pbar.set_description( + f"best {self.g_best_score[0]:.4f} | {self.g_best_score[1]:.4f}" + ) if score[0] == None: score[0] = np.inf if score[1] == None: diff --git a/pso/optimizer_target.py b/pso/optimizer_target.py new file mode 100644 index 0000000..bc406db --- /dev/null +++ b/pso/optimizer_target.py @@ -0,0 +1,524 @@ +import gc +import json +import os +import sys +from datetime import datetime + +import numpy as np +import tensorflow as tf +from tensorflow import keras +from tqdm import tqdm + +from .particle import Particle + +gpus = tf.config.experimental.list_physical_devices("GPU") +if gpus: + try: + # tf.config.experimental.set_visible_devices(gpus[0], "GPU") + # print(tf.config.experimental.get_visible_devices("GPU")) + tf.config.experimental.set_memory_growth(gpus[0], True) + # print("set memory growth") + except RuntimeError as e: + print(e) + + +class Optimizer_Target: + """ + particle swarm optimization + PSO 실행을 위한 클래스 + """ + + def __init__( + self, + model: keras.models, + loss="mse", + n_particles: int = 10, + c0=0.5, + c1=1.5, + w_min=0.5, + w_max=1.5, + negative_swarm: float = 0, + mutation_swarm: float = 0, + np_seed: int = None, + tf_seed: int = None, + target_weights=None, + ): + """ + particle swarm optimization + + Args: + model (keras.models): 모델 구조 + loss (str): 손실함수 + n_particles (int): 파티클 개수 + c0 (float): local rate - 지역 최적값 관성 수치 + c1 (float): global rate - 전역 최적값 관성 수치 + w_min (float): 최소 관성 수치 + w_max (float): 최대 관성 수치 + negative_swarm (float): 최적해와 반대로 이동할 파티클 비율 - 0 ~ 1 사이의 값 + mutation_swarm (float): 돌연변이가 일어날 확률 + np_seed (int, optional): numpy seed. Defaults to None. + tf_seed (int, optional): tensorflow seed. Defaults to None. + target_weights (list, optional): 목표 가중치. Defaults to None. + """ + if np_seed is not None: + np.random.seed(np_seed) + if tf_seed is not None: + tf.random.set_seed(tf_seed) + + self.model = model # 모델 구조 + self.loss = loss # 손실함수 + self.n_particles = n_particles # 파티클 개수 + self.particles = [None] * n_particles # 파티클 리스트 + self.c0 = c0 # local rate - 지역 최적값 관성 수치 + self.c1 = c1 # global rate - 전역 최적값 관성 수치 + self.w_min = w_min # 최소 관성 수치 + self.w_max = w_max # 최대 관성 수치 + self.negative_swarm = negative_swarm # 최적해와 반대로 이동할 파티클 비율 - 0 ~ 1 사이의 값 + self.mutation_swarm = mutation_swarm # 관성을 추가로 사용할 파티클 비율 - 0 ~ 1 사이의 값 + self.g_best_score = [0, np.inf] # 최고 점수 - 시작은 0으로 초기화 + self.g_best = None # 최고 점수를 받은 가중치 + self.g_best_ = None # 최고 점수를 받은 가중치 - 값의 분산을 위한 변수 + self.target_weights = target_weights # 목표 가중치 + self.avg_score = 0 # 평균 점수 + + self.save_path = None # 저장 위치 + self.renewal = "acc" + self.Dispersion = False + self.day = datetime.now().strftime("%m-%d-%H-%M") + + negative_count = 0 + + for i in tqdm(range(self.n_particles), desc="Initializing Particles"): + m = keras.models.model_from_json(model.to_json()) + init_weights = m.get_weights() + w_, sh_, len_ = self._encode(init_weights) + w_ = np.random.uniform(-1, 2, len(w_)) + m.set_weights(self._decode(w_, sh_, len_)) + m.compile(loss=self.loss, optimizer="sgd", metrics=["accuracy"]) + self.particles[i] = Particle( + m, + loss, + negative=True if i < negative_swarm * self.n_particles else False, + mutation=mutation_swarm, + ) + if i < negative_swarm * self.n_particles: + negative_count += 1 + + print(f"negative swarm : {negative_count} / {self.n_particles}") + print( + f"mutation swarm : {mutation_swarm * self.n_particles} / {self.n_particles}" + ) + + gc.collect() + + def __del__(self): + del self.model + del self.loss + del self.n_particles + del self.particles + del self.c0 + del self.c1 + del self.w_min + del self.w_max + del self.negative_swarm + del self.g_best_score + del self.g_best + del self.g_best_ + del self.avg_score + gc.collect() + + def _encode(self, weights): + """ + 가중치를 1차원으로 풀어서 반환 + + Args: + weights (list) : keras model의 가중치 + Returns: + (numpy array) : 가중치 - 1차원으로 풀어서 반환 + (list) : 가중치의 원본 shape + (list) : 가중치의 원본 shape의 길이 + """ + w_gpu = np.array([]) + length = [] + shape = [] + for layer in weights: + shape.append(layer.shape) + w_ = layer.reshape(-1) + length.append(len(w_)) + w_gpu = np.append(w_gpu, w_) + + del weights + + return w_gpu, shape, length + + def _decode(self, weight, shape, length): + """ + _encode 로 인코딩된 가중치를 원본 shape으로 복원 + 파라미터는 encode의 리턴값을 그대로 사용을 권장 + + Args: + weight (numpy array): 가중치 - 1차원으로 풀어서 반환 + shape (list): 가중치의 원본 shape + length (list): 가중치의 원본 shape의 길이 + Returns: + (list) : 가중치 원본 shape으로 복원 + """ + weights = [] + start = 0 + for i in range(len(shape)): + end = start + length[i] + w_ = weight[start:end] + w_ = np.reshape(w_, shape[i]) + weights.append(w_) + start = end + + del weight + del shape + del length + + return weights + + def f(self, x, y, weights): + """ + EBPSO의 목적함수 (예상) + + Args: + x (list): 입력 데이터 + y (list): 출력 데이터 + weights (list): 가중치 + + Returns: + (float): 목적 함수 값 + """ + self.model.set_weights(weights) + self.model.compile(loss=self.loss, optimizer="sgd", metrics=["accuracy"]) + score = self.model.evaluate(x, y, verbose=0)[1] + if score > 0: + return 1 / (1 + score) + else: + return 1 + np.abs(score) + + def fit( + self, + x, + y, + epochs: int = 100, + save: bool = False, + save_path: str = "./result", + renewal: str = "acc", + empirical_balance: bool = False, + Dispersion: bool = False, + check_point: int = None, + ): + """ + Args: + x_test : numpy array, + y_test : numpy array, + epochs : int, + save : bool - True : save, False : not save + save_path : str ex) "./result", + renewal : str ex) "acc" or "loss" or "both", + empirical_balance : bool - True : + Dispersion : bool - True : g_best 의 값을 분산시켜 전역해를 찾음, False : g_best 의 값만 사용 + check_point : int - 저장할 위치 - None : 저장 안함 + """ + self.save_path = save_path + self.empirical_balance = empirical_balance + self.Dispersion = Dispersion + + self.renewal = renewal + + try: + if save: + if save_path is None: + raise ValueError("save_path is None") + else: + self.save_path = save_path + if not os.path.exists(save_path): + os.makedirs(save_path, exist_ok=True) + except ValueError as e: + print(e) + sys.exit(1) + + for i in tqdm(range(self.n_particles), desc="Initializing velocity"): + p = self.particles[i] + local_score = p.get_score(x, y, renewal=renewal) + + if renewal == "acc": + if local_score[1] > self.g_best_score[0]: + self.g_best_score[0] = local_score[1] + self.g_best = p.get_best_weights() + self.g_best_ = p.get_best_weights() + elif renewal == "loss": + if local_score[0] < self.g_best_score[1]: + self.g_best_score[1] = local_score[0] + self.g_best = p.get_best_weights() + self.g_best_ = p.get_best_weights() + + if local_score[0] == None: + local_score[0] = np.inf + + if local_score[1] == None: + local_score[1] = 0 + + if save: + with open( + f"./{save_path}/{self.day}_{self.n_particles}_{epochs}_{self.c0}_{self.c1}_{self.w_min}_{renewal}.csv", + "a", + ) as f: + f.write(f"{local_score[0]}, {local_score[1]}") + if i != self.n_particles - 1: + f.write(", ") + else: + f.write("\n") + + f.close() + del local_score + gc.collect() + + print( + f"initial g_best_score : {self.g_best_score[0] if self.renewal == 'acc' else self.g_best_score[1]}" + ) + + try: + epochs_pbar = tqdm( + range(epochs), + desc=f"best {self.g_best_score[0]:.4f}|{self.g_best_score[1]:.4f}", + ascii=True, + leave=True, + ) + for epoch in epochs_pbar: + acc = 0 + loss = 0 + min_score = np.inf + max_score = 0 + min_loss = np.inf + max_loss = 0 + + ts = self.c0 + np.random.rand() * (self.c1 - self.c0) + + part_pbar = tqdm( + range(len(self.particles)), + desc=f"acc : {max_score:.4f} loss : {min_loss:.4f}", + ascii=True, + leave=False, + ) + for i in part_pbar: + part_pbar.set_description( + f"acc : {max_score:.4f} loss : {min_loss:.4f}" + ) + w = self.w_max - (self.w_max - self.w_min) * epoch / epochs + + g_, g_sh, g_len = self._encode(self.g_best) + decrement = (epochs - (epoch) + 1) / epochs + g_ = (1 - decrement) * g_ + decrement * ts + self.g_best_ = self._decode(g_, g_sh, g_len) + + self.g_best = self.target_weights.get_weights() + + if Dispersion: + g_best = self.g_best_ + else: + g_best = self.g_best + + if empirical_balance: + if np.random.rand() < np.exp(-(epoch) / epochs): + w_p_ = self.f(x, y, self.particles[i].get_best_weights()) + w_g_ = self.f(x, y, self.g_best) + w_p = w_p_ / (w_p_ + w_g_) + w_g = w_p_ / (w_p_ + w_g_) + + del w_p_ + del w_g_ + + else: + p_b = self.particles[i].get_best_score() + g_a = self.avg_score + l_b = p_b - g_a + l_b = np.sqrt(np.power(l_b, 2)) + p_ = ( + 1 + / (self.n_particles * np.linalg.norm(self.c1 - self.c0)) + * l_b + ) + p_ = np.exp(-1 * p_) + w_p = p_ + w_g = 1 - p_ + + del p_b + del g_a + del l_b + del p_ + + score = self.particles[i].step_w( + x, y, self.c0, self.c1, w, g_best, w_p, w_g, renewal=renewal + ) + + else: + score = self.particles[i].step( + x, y, self.c0, self.c1, w, g_best, renewal=renewal + ) + + if renewal == "acc": + if score[1] >= self.g_best_score[0]: + if score[1] > self.g_best_score[0]: + self.g_best_score[0] = score[1] + self.g_best = self.particles[i].get_best_weights() + else: + if score[0] < self.g_best_score[1]: + self.g_best_score[1] = score[0] + self.g_best = self.particles[i].get_best_weights() + epochs_pbar.set_description( + f"best {self.g_best_score[0]:.4f} | {self.g_best_score[1]:.4f}" + ) + elif renewal == "loss": + if score[0] <= self.g_best_score[1]: + if score[0] < self.g_best_score[1]: + self.g_best_score[1] = score[0] + self.g_best = self.particles[i].get_best_weights() + else: + if score[1] > self.g_best_score[0]: + self.g_best_score[0] = score[1] + self.g_best = self.particles[i].get_best_weights() + epochs_pbar.set_description( + f"best {self.g_best_score[0]:.4f} | {self.g_best_score[1]:.4f}" + ) + + if score[0] == None: + score[0] = np.inf + if score[1] == None: + score[1] = 0 + + loss = loss + score[0] + acc = acc + score[1] + + if score[0] < min_loss: + min_loss = score[0] + if score[0] > max_loss: + max_loss = score[0] + + if score[1] < min_score: + min_score = score[1] + if score[1] > max_score: + max_score = score[1] + + if save: + with open( + f"./{save_path}/{self.day}_{self.n_particles}_{epochs}_{self.c0}_{self.c1}_{self.w_min}_{renewal}.csv", + "a", + ) as f: + f.write(f"{score[0]}, {score[1]}") + if i != self.n_particles - 1: + f.write(", ") + else: + f.write("\n") + f.close() + + if check_point is not None: + if epoch % check_point == 0: + os.makedirs(f"./{save_path}/{self.day}", exist_ok=True) + self._check_point_save(f"./{save_path}/{self.day}/ckpt-{epoch}") + self.avg_score = acc / self.n_particles + + gc.collect() + + except KeyboardInterrupt: + print("Ctrl + C : Stop Training") + except MemoryError: + print("Memory Error : Stop Training") + except Exception as e: + print(e) + finally: + self.model_save(save_path) + print("model save") + self.save_info(save_path) + print("save info") + + return self.g_best_score + + def get_best_model(self): + """ + 최고 점수를 받은 모델을 반환 + + Returns: + (keras.models): 모델 + """ + model = keras.models.model_from_json(self.model.to_json()) + model.set_weights(self.g_best) + model.compile(loss=self.loss, optimizer="sgd", metrics=["accuracy"]) + return model + + def get_best_score(self): + """ + 최고 점수를 반환 + + Returns: + (float): 점수 + """ + return self.g_best_score + + def get_best_weights(self): + """ + 최고 점수를 받은 가중치를 반환 + + Returns: + (float): 가중치 + """ + return self.g_best + + def save_info(self, path: str = "./result"): + """ + 학습 정보를 저장 + + Args: + path (str, optional): 저장 위치. Defaults to "./result". + """ + json_save = { + "name": f"{self.day}_{self.n_particles}_{self.c0}_{self.c1}_{self.w_min}.h5", + "n_particles": self.n_particles, + "score": self.g_best_score, + "c0": self.c0, + "c1": self.c1, + "w_min": self.w_min, + "w_max": self.w_max, + "loss_method": self.loss, + "empirical_balance": self.empirical_balance, + "Dispersion": self.Dispersion, + "negative_swarm": self.negative_swarm, + "mutation_swarm": self.mutation_swarm, + "renewal": self.renewal, + } + + with open( + f"./{path}/{self.day}/{self.loss}_{self.g_best_score}.json", + "a", + ) as f: + json.dump(json_save, f, indent=4) + + f.close() + + def _check_point_save(self, save_path: str = f"./result/check_point"): + """ + 중간 저장 + + Args: + save_path (str, optional): checkpoint 저장 위치 및 이름. Defaults to f"./result/check_point". + """ + model = self.get_best_model() + model.save_weights(save_path) + + def model_save(self, save_path: str = "./result"): + """ + 최고 점수를 받은 모델 저장 + + Args: + save_path (str, optional): 모델의 저장 위치. Defaults to "./result". + + Returns: + (keras.models): 모델 + """ + model = self.get_best_model() + model.save( + f"./{save_path}/{self.day}/{self.n_particles}_{self.c0}_{self.c1}_{self.w_min}.h5" + ) + return model diff --git a/readme.md b/readme.md index 7254486..b5843cc 100644 --- a/readme.md +++ b/readme.md @@ -14,12 +14,12 @@ pso 알고리즘을 사용하여 새로운 학습 방법을 찾는중 입니다 다음 위치를 구하는 수식입니다 > $$ -p_{id(t+1)} = -\begin{cases} -x_{id(t+1)} & \text{if } f(x_{id(t+1)}) < f(p_{id(t)})\\ -p_{id(t)} & \text{otherwise} -\end{cases} -$$ +> p_{id(t+1)} = +> \begin{cases} +> x_{id(t+1)} & \text{if } f(x_{id(t+1)}) < f(p_{id(t)})\\ +> p_{id(t)} & \text{otherwise} +> \end{cases} +> $$ ### 위치를 현재 전역해로 변경(덮어쓰기)하면 안되는 이유 @@ -27,8 +27,8 @@ $$ # 초기 세팅 -``` shell - conda env create -f env.yaml +```shell + conda env create -f env.yaml ``` # 현재 진행 상황 @@ -37,7 +37,7 @@ $$ ### 파일 구조 -``` plain text +```plain text |-- /metacode # pso 기본 코드 | |-- pso_bp.py # 오차역전파 함수를 최적화하는 PSO 알고리즘 구현 - 성능이 99% 이상으로 나오나 목적과 다름 | |-- pso_meta.py # PSO 기본 알고리즘 구현 @@ -69,9 +69,9 @@ pso 알고리즘을 이용하여 오차역전파 함수를 최적화 하는 방 > 1. 오차역전파 함수를 1~5회 실행하여 오차를 구합니다 > 2. 오차가 가장 적은 다른 노드(particle) 가중치로 유도합니다. > ->> 2-1. 만약 오차가 가장 작은 다른 노드가 현재 노드보다 오차가 크다면, 현재 노드의 가중치를 유지합니다. - 현재의 가중치를 최적값으로 업로드합니다 ->> ->> 2-2. 지역 최적값을 찾았다면, 전역 최적값을 찾을 때까지 1~2 과정을 반복합니다 +> > 2-1. 만약 오차가 가장 작은 다른 노드가 현재 노드보다 오차가 크다면, 현재 노드의 가중치를 유지합니다. - 현재의 가중치를 최적값으로 업로드합니다 +> > +> > 2-2. 지역 최적값을 찾았다면, 전역 최적값을 찾을 때까지 1~2 과정을 반복합니다 > > 3. 전역 최적값이 특정 임계치에서 변화율이 적다면 학습을 종료합니다 - 현재 결과가 정확도가 높지 않아서 이 기능은 추후에 추가할 예정입니다 @@ -83,29 +83,29 @@ pso 알고리즘을 이용하여 오차역전파 함수를 최적화 하는 방 ### 1. xor 문제 -``` python +```python loss = 'mean_squared_error' pso_xor = Optimizer( model, - loss=loss, - n_particles=75, - c0=0.35, - c1=0.8, - w_min=0.6, - w_max=1.2, + loss=loss, + n_particles=75, + c0=0.35, + c1=0.8, + w_min=0.6, + w_max=1.2, negative_swarm=0.25 ) best_score = pso_xor.fit( - x_test, - y_test, - epochs=200, - save=True, - save_path="./result/xor", - renewal="acc", - empirical_balance=False, - Dispersion=False, + x_test, + y_test, + epochs=200, + save=True, + save_path="./result/xor", + renewal="acc", + empirical_balance=False, + Dispersion=False, check_point=25 ) ``` @@ -115,29 +115,29 @@ pso 알고리즘을 이용하여 오차역전파 함수를 최적화 하는 방 2. iris 문제 -``` python +```python loss = 'categorical_crossentropy' pso_iris = Optimizer( model, - loss=loss, - n_particles=50, - c0=0.4, - c1=0.8, + loss=loss, + n_particles=50, + c0=0.4, + c1=0.8, w_min=0.7, - w_max=1.0, + w_max=1.0, negative_swarm=0.2 ) best_score = pso_iris.fit( - x_train, - y_train, - epochs=200, - save=True, - save_path="./result/iris", - renewal="acc", - empirical_balance=False, - Dispersion=False, + x_train, + y_train, + epochs=200, + save=True, + save_path="./result/iris", + renewal="acc", + empirical_balance=False, + Dispersion=False, check_point=25 ) ``` @@ -147,40 +147,41 @@ best_score = pso_iris.fit( 3. mnist 문제 -``` python -loss = 'mean_squared_error' +```python +loss = 'sparse_categorical_crossentropy' pso_mnist = Optimizer( model, - loss=loss, - n_particles=50, - c0=0.35, - c1=0.8, - w_min=0.7, - w_max=1.0, - negative_swarm=0.25 - ) + loss=loss, + n_particles=75, + c0=0.35, + c1=0.7, + w_min=0.45, + w_max=0.9, + negative_swarm=0.2, + mutation_swarm=0.2, +) best_score = pso_mnist.fit( x_test, y_test, epochs=200, save=True, - save_path="./result/mnist", - renewal="acc", + save_path="./result/mnist", + renewal="acc", empirical_balance=False, - Dispersion=False, + Dispersion=False, check_point=25 ) ``` -위의 파라미터 기준 현재 정확도 38%를 보이고 있습니다 -![mnist](./history_plt/mnist_cnn_acc.png) +위의 파라미터 기준 현재 정확도 46%를 보이고 있습니다 +![mnist](./history_plt/mnist_46.57.png) ### Trouble Shooting > 1. 딥러닝 알고리즘 특성상 weights는 처음 컴파일시 무작위하게 생성된다. weights의 각 지점의 중요도는 매번 무작위로 정해지기에 전역 최적값으로 찾아갈 때 값이 높은 loss를 향해서 상승하는 현상이 나타난다.
-> 따라서 weights의 이동 방법을 더 탐구하거나, weights를 초기화 할때 random 중요도를 좀더 노이즈가 적게 생성하는 방향을 모색해야할 것 같다. +> 따라서 weights의 이동 방법을 더 탐구하거나, weights를 초기화 할때 random 중요도를 좀더 노이즈가 적게 생성하는 방향을 모색해야할 것 같다. -> 고르게 초기화 하기 위해 np.random.uniform 함수를 사용하였습니다 diff --git a/weights.h5 b/weights.h5 new file mode 100644 index 0000000000000000000000000000000000000000..f2b77e1410ca7f8c445492bd841041d5792cf0db GIT binary patch literal 400128 zcmeEu30#iP*LVAZc2P-%sDw%jbzgJZWet&JEfo>jl|p+`X)l#hvbIX3?V59w5|Kz* zi%9m65DD*1^?RTH@BjXv?R}p2c|XtdyFQ=$KG)2gYp$6yXU@!g=ghTly45s^K}v)8 zeqCZ>d_sKEzi$Wre)eB{BSd~j{SoeGaO$W0{WPqfo)qZ2;pY?P`<159A1~dXznWlQ zgn$2o3+=3}`S=9*2J#=E{g3^Tfo^}qJjK59c>lrh*Uf)t2~4*(pZBYNh5eO`>8F{p zeR{ypC-{HVvw6e%(%t*{{}ErZ(%+7HOdI;a;-z@xmL->aBw0phtPPZ*9 zJ)JkWZT%gu$kS_S-rcWXpNfn1@$>)F5UEc~bRUnLjk z{Ra4dz2TpRe|5!Qc?_ig>U#e)EW`^B;WOj?|0=5(uRdaYtDIdt+&o?R{$V|SbMx{2 zHXQxs`t{BseA9oY@bgLj&d0-Ti}Ti%JKVNxUAxhfm+~*=_q!GP^ZS+eKWZxKE6Kt!T%5KhnR97V}I8DPyI#yr$}JHek|^<@W6N^)~`nca&Xz`xnr{H%E<%a 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