{"nbformat":4,"nbformat_minor":0,"metadata":{"colab":{"name":"practice_neuron_logloss.ipynb","version":"0.3.2","provenance":[],"collapsed_sections":[]},"kernelspec":{"display_name":"Python 3","language":"python","name":"python3"}},"cells":[{"metadata":{"colab_type":"text","id":"-80-LkjSZca6"},"cell_type":"markdown","source":["---"]},{"metadata":{"colab_type":"text","id":"tWTTy4lrZca5"},"cell_type":"markdown","source":["

Обучение нейрона с помощью функции потерь LogLoss

"]},{"metadata":{"id":"2PKnvJ4WvQO2","colab_type":"text"},"cell_type":"markdown","source":["---"]},{"metadata":{"colab_type":"text","id":"VvIHYHMQZca7"},"cell_type":"markdown","source":["

Напоминание

"]},{"metadata":{"colab_type":"text","id":"KU9Uf1w2Zca8"},"cell_type":"markdown","source":["Почти любой алгоритм машинного обучения, решающий задачу *классификации* или *регрессии*, работает так:\n","\n","1. (*стадия инициализации*) Задаются его **гиперпараметры**, то есть те величины, которые не \"выучиваются\" алгоритмом в процессе обучения самостоятельно \n","2. (*стадия обучения*) Алгоритм запускается на данных, **обучаясь** на них и меняя свои **параметры** (не путать с *гипер*параметрами) каким-то определённым образом (например, с помощью *метода градиентного спуска*), исходя из функции потерь (её называют *loss function*). Функция потерь, по сути, говорит, где и как ошибается модель\n","3. (*стадия предсказания*) Модель готова, и теперь с помощью неё можно делать **предсказания** на новых объектах"]},{"metadata":{"colab_type":"text","id":"jdNcqz_wZca9"},"cell_type":"markdown","source":["В данном ноутбуке будет решаться задача **бинарной классификации** с помощью нейрона: \n","- *Входные данные*: матрица $X$ размера $(n, m)$ и столбец $y$ из нулей и единиц размера $(n, 1)$. Строкам матрицы соответствуют объекты, столбцам - признаки (то есть строка $i$ есть набор признаков (*признаковое описание*) объекта $x_i$).\n","- *Выходные данные*: столбец $\\hat{y}$ из нулей и единиц размера $(n, 1)$ - предсказания алгоритма."]},{"metadata":{"colab_type":"text","id":"fBZn3J6GZca_"},"cell_type":"markdown","source":["Модель нейрона в биологии и в deep learning: \n","\n","![title](http://lamda.nju.edu.cn/weixs/project/CNNTricks/imgs/neuron.png)"]},{"metadata":{"colab_type":"text","id":"G_zlIW5BZcbB"},"cell_type":"markdown","source":["

Нейрон с сигмоидой

"]},{"metadata":{"colab_type":"text","id":"QWwW32pCZcbC"},"cell_type":"markdown","source":["Снова рассмотрим нейрон с сигмоидой, то есть $$f(x) = \\sigma(x)=\\frac{1}{1+e^{-x}}$$ на рисунке выше."]},{"metadata":{"colab_type":"text","collapsed":true,"id":"mj5QizQIZcbC"},"cell_type":"markdown","source":["На предыдущем занятии мы установили, что **обучение нейрона с сигмоидой с квадратичной функцией потерь**: \n","\n","$$MSE(w, x) = \\frac{1}{2n}\\sum_{i=1}^{n} (\\hat{y_i} - y_i)^2 = \\frac{1}{2n}\\sum_{i=1}^{n} (\\sigma(w \\cdot x_i) - y_i)^2$$ \n","\n","где $w \\cdot x_i$ - скалярное произведение, а $\\sigma(w \\cdot x_i) =\\frac{1}{1+e^{-w \\cdot x_i}} $ - сигмоида -- **неэффективно**, то есть мы увидели, что даже за большое количество итераций нейрон предсказывает плохо."]},{"metadata":{"colab_type":"text","id":"MTgNbravZcbE"},"cell_type":"markdown","source":["Давайте ещё раз взглянем на формулу для градиентного спуска от функции потерь $MSE$ по весам нейрона:"]},{"metadata":{"colab_type":"text","collapsed":true,"id":"RHXjByowZcbE"},"cell_type":"markdown","source":["$$ \\frac{\\partial MSE}{\\partial w} = \\frac{1}{n} X^T (\\sigma(w \\cdot X) - y)\\sigma(w \\cdot X)(1 - \\sigma(w \\cdot X))$$"]},{"metadata":{"colab_type":"text","id":"ebNqrTV3ZcbF"},"cell_type":"markdown","source":["А теперь смотрим на график сигмоиды:"]},{"metadata":{"colab_type":"text","id":"366q3EzJZcbH"},"cell_type":"markdown","source":[""]},{"metadata":{"colab_type":"text","id":"CSEF3EWVZcbJ"},"cell_type":"markdown","source":["**Её значения: числа от 0 до 1.**"]},{"metadata":{"colab_type":"text","id":"8oOJPcKhZcbJ"},"cell_type":"markdown","source":["Если получше проанализировать формулу, то теперь можно заметить, что, поскольку сигмоида принимает значения между 0 и 1 (а значит (1-$\\sigma$) тоже принимает значения от 0 до 1), то мы умножаем $X^T$ на столбец $(\\sigma(w \\cdot X) - y)$ из чисел от -1 до 1, а потом ещё на столбцы $\\sigma(w \\cdot X)$ и $(1 - \\sigma(w \\cdot X))$ из чисел от 0 до 1. Таким образом в лучшем случае $\\frac{\\partial{J}}{\\partial{w}}$ будет столбцом из чисел, порядок которых максимум 0.01 (в среднем, понятно, что если сигмоида выдаёт все 0, то будет 0, если все 1, то тоже 0). После этого мы умножаем на шаг градиентного спуска, который обычно порядка 0.001 или 0.1 максимум. То есть мы вычитаем из весов числа порядка ~0.0001. Медленновато спускаемся, не правда ли? Это называют **проблемой затухающих градиентов**."]},{"metadata":{"colab_type":"text","id":"hHmUqm5xZcbK"},"cell_type":"markdown","source":["Всё верно. В задачах классификации, в которых моделью является нейрон с сигмоидной функцией активации, предсказывающий \"вероятности\" принадлженостей к классам, почти никогда не используют квадратичную функцию потерь $J$. Вместо неё придумали другую прекрасную функцию потерь -- **LogLoss**: "]},{"metadata":{"colab_type":"text","id":"Dbw69trJZcbL"},"cell_type":"markdown","source":["$$J(\\hat{y}, y) = -\\frac{1}{n} \\sum_{i=1}^n y_i \\log(\\hat{y_i}) + (1 - y_i) \\log(1 - \\hat{y_i}) = -\\frac{1}{n} \\sum_{i=1}^n y_i \\log(\\sigma(w \\cdot x_i)) + (1 - y_i) \\log(1 - \\sigma(w \\cdot x_i))$$"]},{"metadata":{"colab_type":"text","id":"jXcBIx73ZcbM"},"cell_type":"markdown","source":["где, как и прежде, $y$ - столбец $(n, 1)$ из истинных значений классов, а $\\hat{y}$ - столбец $(n, 1)$ из предсказаний нейрона."]},{"metadata":{"colab_type":"code","id":"5DBEOhJmZcbN","colab":{}},"cell_type":"code","source":["from matplotlib import pyplot as plt\n","from matplotlib.colors import ListedColormap\n","import numpy as np\n","import pandas as pd"],"execution_count":0,"outputs":[]},{"metadata":{"colab_type":"code","id":"_x5CX0RyZcbQ","colab":{}},"cell_type":"code","source":["def loss(y_pred, y):\n"," return -np.mean(y * np.log(y_pred) + (1 - y) * np.log(1 - y_pred))"],"execution_count":0,"outputs":[]},{"metadata":{"colab_type":"text","id":"raPTihU6ZcbT"},"cell_type":"markdown","source":["Отметим, что сейчас речь идёт именно о **бинарной классификации (на два класса)**, в многоклассовой классификации используется функция потерь под названием *кросс-энтропия*, которая является обобщением LogLoss'а на случай нескольких классов."]},{"metadata":{"id":"B0Ky5xUfvOzh","colab_type":"text"},"cell_type":"markdown","source":["Почему же теперь всё будет лучше? Раньше была проблема умножения маленьких чисел в градиенте. Давайте посмотрим, что теперь:"]},{"metadata":{"id":"qxs0zXfPvOzh","colab_type":"text"},"cell_type":"markdown","source":["* Для веса $w_j$:"]},{"metadata":{"id":"hH6AujkCvOzj","colab_type":"text"},"cell_type":"markdown","source":["$$ \\frac{\\partial Loss}{\\partial w_j} = \n","-\\frac{1}{n} \\sum_{i=1}^n \\left(\\frac{y_i}{\\sigma(w \\cdot x_i)} - \\frac{1 - y_i}{1 - \\sigma(w \\cdot x_i)}\\right)(\\sigma(w \\cdot x_i))_{w_j}' = -\\frac{1}{n} \\sum_{i=1}^n \\left(\\frac{y_i}{\\sigma(w \\cdot x_i)} - \\frac{1 - y_i}{1 - \\sigma(w \\cdot x_i)}\\right)\\sigma(w \\cdot x_i)(1 - \\sigma(w \\cdot x_i))x_{ij} = $$\n","$$-\\frac{1}{n} \\sum_{i=1}^n \\left(y_i - \\sigma(w \\cdot x_i)\\right)x_{ij}$$"]},{"metadata":{"id":"dYOygL-zvOzk","colab_type":"text"},"cell_type":"markdown","source":["* Градиент $Loss$'а по вектору весов -- это вектор, $j$-ая компонента которого равна $\\frac{\\partial Loss}{\\partial w_j}$ (помним, что весов всего $m$):"]},{"metadata":{"id":"ItJoyReVvOzl","colab_type":"text"},"cell_type":"markdown","source":["$$\\begin{align}\n"," \\frac{\\partial Loss}{\\partial w} &= \\begin{bmatrix}\n"," -\\frac{1}{n} \\sum_{i=1}^n \\left(y_i - \\sigma(w \\cdot x_i)\\right)x_{i1} \\\\\n"," -\\frac{1}{n} \\sum_{i=1}^n \\left(y_i - \\sigma(w \\cdot x_i)\\right)x_{i2} \\\\\n"," \\vdots \\\\\n"," -\\frac{1}{n} \\sum_{i=1}^n \\left(y_i - \\sigma(w \\cdot x_i)\\right)x_{im}\n"," \\end{bmatrix}\n","\\end{align}=\\frac{1}{n} X^T \\left(\\hat{y} - y\\right)$$"]},{"metadata":{"id":"r2xKo6NzvOzm","colab_type":"text"},"cell_type":"markdown","source":["По аналогии с $w_j$ выведите формулу для свободного члена (bias'а) $b$ (*hint*: можно считать, что при нём есть признак $x_{i0}=1$ на всех $i$):"]},{"metadata":{"id":"OKAs7R43vOzr","colab_type":"code","colab":{}},"cell_type":"code","source":["<Вывод формулы здесь>"],"execution_count":0,"outputs":[]},{"metadata":{"colab_type":"text","id":"7HQALb8XZcbU"},"cell_type":"markdown","source":["Получили новое правило для обновления $w$ и $b$. Заметим, что это в точности то правило обновления весов для градиентного спуска, которое мы использовали для перцептрона. Получается, что мы пришли к этому правилу \"по-честному\", сделав функцией активации сигмоиду и введя новую функию потерь -- LogLoss, а когда реализовывали перцептрон, мы просто сказали (воспользовавшись *правилом Хебба*), что $f'(x)$ возьмём единицей, то есть тут имеет место интересная связь градиентного спуска и метода коррекции ошибки."]},{"metadata":{"colab_type":"text","id":"3Kr-edseZcbW"},"cell_type":"markdown","source":["Отсюда очевидно, что код для нейрона с такой функцией потерь не будет ничем отличаться от кода для перцептрона, за исключением метода `self.activate()`. Напишем:"]},{"metadata":{"colab_type":"code","id":"xL2gqg27ZcbW","colab":{}},"cell_type":"code","source":["def sigmoid(x):\n"," \"\"\"Сигмоидальная функция\"\"\"\n"," return 1 / (1 + np.exp(-x))"],"execution_count":0,"outputs":[]},{"metadata":{"colab_type":"text","id":"ukZ-iJNRZcbY"},"cell_type":"markdown","source":["Реализуйте нейрон с функцией потерь LogLoss:"]},{"metadata":{"colab_type":"code","id":"TdnkoJDfZcba","colab":{}},"cell_type":"code","source":["class Neuron:\n"," \n"," def __init__(self, w=None, b=0):\n"," \"\"\"\n"," :param: w -- вектор весов\n"," :param: b -- смещение\n"," \"\"\"\n"," # пока что мы не знаем размер матрицы X, а значит не знаем, сколько будет весов\n"," self.w = w\n"," self.b = b\n"," \n"," \n"," def activate(self, x):\n"," return sigmoid(x)\n"," \n"," \n"," def forward_pass(self, X):\n"," \"\"\"\n"," Эта функция рассчитывает ответ нейрона при предъявлении набора объектов\n"," :param: X -- матрица объектов размера (n, m), каждая строка - отдельный объект\n"," :return: вектор размера (n, 1) из нулей и единиц с ответами перцептрона \n"," \"\"\"\n"," # реализуйте forward_pass\n"," \n"," \n"," def backward_pass(self, X, y, y_pred, learning_rate=0.1):\n"," \"\"\"\n"," Обновляет значения весов нейрона в соответствие с этим объектом\n"," :param: X -- матрица объектов размера (n, m)\n"," y -- вектор правильных ответов размера (n, 1)\n"," learning_rate - \"скорость обучения\" (символ alpha в формулах выше)\n"," В этом методе ничего возвращать не нужно, только правильно поменять веса\n"," с помощью градиентного спуска.\n"," \"\"\"\n"," # тут нужно обновить веса по формулам, написанным выше\n"," \n"," \n"," def fit(self, X, y, num_epochs=5000):\n"," \"\"\"\n"," Спускаемся в минимум\n"," :param: X -- матрица объектов размера (n, m)\n"," y -- вектор правильных ответов размера (n, 1)\n"," num_epochs -- количество итераций обучения\n"," :return: J_values -- вектор значений функции потерь\n"," \"\"\"\n"," self.w = np.zeros((X.shape[1], 1)) # столбец (m, 1)\n"," self.b = 0 # смещение\n"," loss_values = [] # значения функции потерь на различных итерациях обновления весов\n"," \n"," for i in range(num_epochs):\n"," # предсказания с текущими весами\n"," y_pred = self.forward_pass(X)\n"," # считаем функцию потерь с текущими весами\n"," loss_values.append(loss(y_pred, y))\n"," # обновляем веса по формуле градиентного спуска\n"," self.backward_pass(X, y, y_pred)\n","\n"," return loss_values"],"execution_count":0,"outputs":[]},{"metadata":{"colab_type":"text","id":"-RQRPI50Zcbb"},"cell_type":"markdown","source":["

Тестирование

"]},{"metadata":{"colab_type":"text","id":"FBwpsQc0Zcbc"},"cell_type":"markdown","source":["Протестируем нейрон, обученный с новой функцией потерь, на тех же данных, что и в предыдущем ноутбуке:"]},{"metadata":{"colab_type":"text","id":"JVCPAAuXZcbd"},"cell_type":"markdown","source":["**Проверка forward_pass()**"]},{"metadata":{"colab_type":"code","executionInfo":{"elapsed":646,"status":"ok","timestamp":1539422634948,"user":{"displayName":"Григорий Лелейтнер","photoUrl":"","userId":"07179937308049589303"},"user_tz":-300},"id":"hbuAzv_YZcbe","outputId":"95004e10-a72e-4aaf-9929-2589d8722bad","colab":{"base_uri":"https://localhost:8080/","height":70}},"cell_type":"code","source":["w = np.array([1., 2.]).reshape(2, 1)\n","b = 2.\n","X = np.array([[1., 3.],\n"," [2., 4.],\n"," [-1., -3.2]])\n","\n","neuron = Neuron(w, b)\n","y_pred = neuron.forward_pass(X)\n","print (\"y_pred = \" + str(y_pred))"],"execution_count":0,"outputs":[{"output_type":"stream","text":["y_pred = [[0.99987661]\n"," [0.99999386]\n"," [0.00449627]]\n"],"name":"stdout"}]},{"metadata":{"colab_type":"text","id":"eL6viEHNZcbi"},"cell_type":"markdown","source":["**Проверка backward_pass()**"]},{"metadata":{"colab_type":"code","id":"_4F8zActZcbk","colab":{}},"cell_type":"code","source":["y = np.array([1, 0, 1]).reshape(3, 1)"],"execution_count":0,"outputs":[]},{"metadata":{"colab_type":"code","executionInfo":{"elapsed":750,"status":"ok","timestamp":1539422636670,"user":{"displayName":"Григорий Лелейтнер","photoUrl":"","userId":"07179937308049589303"},"user_tz":-300},"id":"ILDcoLqwZcbm","outputId":"a70db24d-e05a-4a05-d203-77576034aa80","colab":{"base_uri":"https://localhost:8080/","height":70}},"cell_type":"code","source":["neuron.backward_pass(X, y, y_pred)\n","\n","print (\"w = \" + str(neuron.w))\n","print (\"b = \" + str(neuron.b))"],"execution_count":0,"outputs":[{"output_type":"stream","text":["w = [[ 0.00154399]\n"," [-0.39507239]]\n","b = 1.9985444218632158\n"],"name":"stdout"}]},{"metadata":{"colab_type":"text","id":"_1ZRdKcfZcbq"},"cell_type":"markdown","source":["Загрузим данные (яблоки и груши):"]},{"metadata":{"colab_type":"code","id":"RWYeLd-hZcbq","colab":{}},"cell_type":"code","source":["data = pd.read_csv(\"./data/apples_pears.csv\")"],"execution_count":0,"outputs":[]},{"metadata":{"colab_type":"code","id":"9ecudw87Zcbu","outputId":"b0667b9c-c972-41ab-d595-d2a307d19f4c","colab":{}},"cell_type":"code","source":["data.head()"],"execution_count":0,"outputs":[{"output_type":"execute_result","data":{"text/html":["
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yellownesssymmetrytarget
00.7794270.2573051.0
10.7770050.0159151.0
20.9770920.3042101.0
30.0430320.1408990.0
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\n","
"],"text/plain":[" yellowness symmetry target\n","0 0.779427 0.257305 1.0\n","1 0.777005 0.015915 1.0\n","2 0.977092 0.304210 1.0\n","3 0.043032 0.140899 0.0\n","4 0.760433 0.193123 1.0"]},"metadata":{"tags":[]},"execution_count":9}]},{"metadata":{"colab_type":"code","id":"Wjc26FMiZcbz","outputId":"1be43257-4d42-4725-f2fe-3e494e82c1ca","colab":{}},"cell_type":"code","source":["plt.figure(figsize=(10, 8))\n","plt.scatter(data.iloc[:, 0], data.iloc[:, 1], c=data['target'], cmap='rainbow')\n","plt.title('Яблоки и груши', fontsize=15)\n","plt.xlabel('симметричность', fontsize=14)\n","plt.ylabel('желтизна', fontsize=14)\n","plt.show();"],"execution_count":0,"outputs":[{"output_type":"display_data","data":{"image/png":"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\n","text/plain":["
"]},"metadata":{"tags":[]}}]},{"metadata":{"colab_type":"text","id":"eaTnrIVUZcb1"},"cell_type":"markdown","source":["Обозначим, что здесь признаки, а что - классы:"]},{"metadata":{"colab_type":"code","id":"zwVu_NsCZcb2","colab":{}},"cell_type":"code","source":["X = data.iloc[:,:2].values # матрица объекты-признаки\n","y = data['target'].values.reshape((-1, 1)) # классы (столбец из нулей и единиц)"],"execution_count":0,"outputs":[]},{"metadata":{"colab_type":"text","id":"JsuH5PUrZcb5"},"cell_type":"markdown","source":["**Вывод функции потерь** \n","Функция потерь должна убывать и в итоге стать близкой к 0"]},{"metadata":{"colab_type":"code","id":"PBJ0ZH6SZcb6","outputId":"16ddf0d9-d375-4ba3-9a9d-eeeea11bda2b","colab":{}},"cell_type":"code","source":["%%time\n","neuron = Neuron()\n","J_values = neuron.fit(X, y)\n","\n","plt.figure(figsize=(10, 8))\n","plt.plot(J_values)\n","plt.title('Функция потерь', fontsize=15)\n","plt.xlabel('номер итерации', fontsize=14)\n","plt.ylabel('$J(\\hat{y}, y)$', fontsize=14)\n","plt.show()"],"execution_count":0,"outputs":[{"output_type":"display_data","data":{"image/png":"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\n","text/plain":["
"]},"metadata":{"tags":[]}},{"output_type":"stream","text":["Wall time: 856 ms\n"],"name":"stdout"}]},{"metadata":{"colab_type":"text","id":"X1PcnRTaZcb9"},"cell_type":"markdown","source":["Посмотрим, как теперь нейрон классифицировал объекты из выборки:"]},{"metadata":{"colab_type":"code","id":"7bvaljbsZcb-","outputId":"83641cc6-d6dd-4e82-bea0-9eecda05ca53","colab":{}},"cell_type":"code","source":["plt.figure(figsize=(10, 8))\n","plt.scatter(data.iloc[:, 0], data.iloc[:, 1], c=np.array(neuron.forward_pass(X) > 0.5).ravel(), cmap='spring')\n","plt.title('Яблоки и груши', fontsize=15)\n","plt.xlabel('симметричность', fontsize=14)\n","plt.ylabel('желтизна', fontsize=14)\n","plt.show();"],"execution_count":0,"outputs":[{"output_type":"display_data","data":{"image/png":"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\n","text/plain":["
"]},"metadata":{"tags":[]}}]},{"metadata":{"colab_type":"text","id":"ELtGlYqBZccE"},"cell_type":"markdown","source":["Видим, что с LogLoss в случае классификации работать лучше, чем с квадратичной функцией потерь (с 5000 итераций и lr=0.1 здесь лучше, чем с 5000 итераций и lr=0.1 в нейроне с MSE). "]},{"metadata":{"id":"2HN75qvqvO0k","colab_type":"text"},"cell_type":"markdown","source":["

Полезные ссылки

\n","\n","0). Статья от Стэнфорда: http://cs231n.github.io/neural-networks-1/\n","\n","1). Хорошая статья про функции активации: https://www.jeremyjordan.me/neural-networks-activation-functions/\n","\n","2). [Видео от Siraj Raval](https://www.youtube.com/watch?v=-7scQpJT7uo)\n","\n","3). Современная статья про функции активации. Теперь на хайпе активация **$swish(x) = x\\sigma (\\beta x)$:** https://arxiv.org/pdf/1710.05941.pdf (кстати, при её поиске в некоторой степени использовался neural architecture search)\n","\n","4). **SeLU** имеет очень интересные, доказанные с помощью теории вероятностей свойства: https://arxiv.org/pdf/1706.02515.pdf (да, в этой статье 102 страницы)"]}]}