From 59861d422a5cd2ecda932a745c9d1dbfdd5121ad Mon Sep 17 00:00:00 2001 From: Sucio <esteban.cosserat@gmail.com> Date: Mon, 30 Oct 2023 16:43:47 +0100 Subject: [PATCH] maj --- Rapport.ipynb | 121 ++++++++++++++++++++++++++------------------------ mlp.py | 49 +++++++++++++++----- test.py | 13 ++++-- 3 files changed, 112 insertions(+), 71 deletions(-) diff --git a/Rapport.ipynb b/Rapport.ipynb index 5147942..af22073 100644 --- a/Rapport.ipynb +++ b/Rapport.ipynb @@ -15,7 +15,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 1, "metadata": { "dotnet_interactive": { "language": "csharp" @@ -40,7 +40,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 2, "metadata": {}, "outputs": [], "source": [ @@ -54,7 +54,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 3, "metadata": {}, "outputs": [], "source": [ @@ -72,7 +72,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 4, "metadata": {}, "outputs": [], "source": [ @@ -98,20 +98,16 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 5, "metadata": {}, "outputs": [ { - "ename": "ValueError", - "evalue": "all the input array dimensions except for the concatenation axis must match exactly, but along dimension 1, the array at index 0 has size 3071 and the array at index 1 has size 3072", - "output_type": "error", - "traceback": [ - "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[1;31mValueError\u001b[0m Traceback (most recent call last)", - "\u001b[1;32mc:\\Users\\Utilisateur\\Documents\\GitHub\\image-classification\\Rapport.ipynb Cell 8\u001b[0m line \u001b[0;36m3\n\u001b[0;32m <a href='vscode-notebook-cell:/c%3A/Users/Utilisateur/Documents/GitHub/image-classification/Rapport.ipynb#X10sZmlsZQ%3D%3D?line=0'>1</a>\u001b[0m \u001b[39mif\u001b[39;00m \u001b[39m__name__\u001b[39m \u001b[39m==\u001b[39m \u001b[39m\"\u001b[39m\u001b[39m__main__\u001b[39m\u001b[39m\"\u001b[39m:\n\u001b[0;32m <a href='vscode-notebook-cell:/c%3A/Users/Utilisateur/Documents/GitHub/image-classification/Rapport.ipynb#X10sZmlsZQ%3D%3D?line=1'>2</a>\u001b[0m \u001b[39m#read_cifar_batch(\"data/cifar-10-batches-py/data_batch_1\")\u001b[39;00m\n\u001b[1;32m----> <a href='vscode-notebook-cell:/c%3A/Users/Utilisateur/Documents/GitHub/image-classification/Rapport.ipynb#X10sZmlsZQ%3D%3D?line=2'>3</a>\u001b[0m d, l \u001b[39m=\u001b[39m read_cifar(\u001b[39m\"\u001b[39m\u001b[39mdata/cifar-10-batches-py\u001b[39m\u001b[39m\"\u001b[39m)\n\u001b[0;32m <a href='vscode-notebook-cell:/c%3A/Users/Utilisateur/Documents/GitHub/image-classification/Rapport.ipynb#X10sZmlsZQ%3D%3D?line=3'>4</a>\u001b[0m \u001b[39mprint\u001b[39m(l[\u001b[39m0\u001b[39m:\u001b[39m10\u001b[39m])\n\u001b[0;32m <a href='vscode-notebook-cell:/c%3A/Users/Utilisateur/Documents/GitHub/image-classification/Rapport.ipynb#X10sZmlsZQ%3D%3D?line=4'>5</a>\u001b[0m d_1, l_1, d_1, l_2 \u001b[39m=\u001b[39m split_dataset(d[:\u001b[39m10\u001b[39m,:], l[:\u001b[39m10\u001b[39m], \u001b[39m0.9\u001b[39m)\n", - "\u001b[1;32mc:\\Users\\Utilisateur\\Documents\\GitHub\\image-classification\\Rapport.ipynb Cell 8\u001b[0m line \u001b[0;36m8\n\u001b[0;32m <a href='vscode-notebook-cell:/c%3A/Users/Utilisateur/Documents/GitHub/image-classification/Rapport.ipynb#X10sZmlsZQ%3D%3D?line=5'>6</a>\u001b[0m batch_path \u001b[39m=\u001b[39m os\u001b[39m.\u001b[39mpath\u001b[39m.\u001b[39mjoin(path_folder, filename)\n\u001b[0;32m <a href='vscode-notebook-cell:/c%3A/Users/Utilisateur/Documents/GitHub/image-classification/Rapport.ipynb#X10sZmlsZQ%3D%3D?line=6'>7</a>\u001b[0m d, l \u001b[39m=\u001b[39m read_cifar_batch(batch_path)\n\u001b[1;32m----> <a href='vscode-notebook-cell:/c%3A/Users/Utilisateur/Documents/GitHub/image-classification/Rapport.ipynb#X10sZmlsZQ%3D%3D?line=7'>8</a>\u001b[0m data \u001b[39m=\u001b[39m np\u001b[39m.\u001b[39mconcatenate((data, d), axis\u001b[39m=\u001b[39m\u001b[39m0\u001b[39m)\n\u001b[0;32m <a href='vscode-notebook-cell:/c%3A/Users/Utilisateur/Documents/GitHub/image-classification/Rapport.ipynb#X10sZmlsZQ%3D%3D?line=8'>9</a>\u001b[0m labels \u001b[39m=\u001b[39m np\u001b[39m.\u001b[39mconcatenate((labels, l), axis\u001b[39m=\u001b[39m\u001b[39mNone\u001b[39;00m)\n\u001b[0;32m <a href='vscode-notebook-cell:/c%3A/Users/Utilisateur/Documents/GitHub/image-classification/Rapport.ipynb#X10sZmlsZQ%3D%3D?line=9'>10</a>\u001b[0m \u001b[39mreturn\u001b[39;00m(data,labels)\n", - "File \u001b[1;32m<__array_function__ internals>:200\u001b[0m, in \u001b[0;36mconcatenate\u001b[1;34m(*args, **kwargs)\u001b[0m\n", - "\u001b[1;31mValueError\u001b[0m: all the input array dimensions except for the concatenation axis must match exactly, but along dimension 1, the array at index 0 has size 3071 and the array at index 1 has size 3072" + "name": "stdout", + "output_type": "stream", + "text": [ + "[6 9 9 4 1 1 2 7 8 3]\n", + "[9 7 4 3 1 6 9 8 2] [1]\n", + "[1] [1]\n" ] } ], @@ -135,12 +131,12 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 6, "metadata": {}, "outputs": [ { "data": { - "image/png": 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", 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", "text/plain": [ "<Figure size 1200x500 with 10 Axes>" ] @@ -249,7 +245,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 7, "metadata": {}, "outputs": [], "source": [ @@ -272,7 +268,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 8, "metadata": {}, "outputs": [], "source": [ @@ -295,7 +291,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 9, "metadata": {}, "outputs": [], "source": [ @@ -314,18 +310,15 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 10, "metadata": {}, "outputs": [ { - "data": { - "image/png": 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", - "text/plain": [ - "<Figure size 640x480 with 1 Axes>" - ] - }, - "metadata": {}, - "output_type": "display_data" + "name": "stdout", + "output_type": "stream", + "text": [ + "Couldn't find program: 'false'\n" + ] } ], "source": [ @@ -357,7 +350,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 11, "metadata": {}, "outputs": [ { @@ -395,7 +388,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 12, "metadata": {}, "outputs": [ { @@ -425,7 +418,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 13, "metadata": {}, "outputs": [], "source": [ @@ -458,18 +451,15 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 14, "metadata": {}, "outputs": [ { - "data": { - "image/png": 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", - "text/plain": [ - "<Figure size 640x480 with 1 Axes>" - ] - }, - "metadata": {}, - "output_type": "display_data" + "name": "stdout", + "output_type": "stream", + "text": [ + "Couldn't find program: 'false'\n" + ] } ], "source": [ @@ -617,7 +607,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 15, "metadata": {}, "outputs": [], "source": [ @@ -649,9 +639,9 @@ " b2=learning_methode(b2,dc_db2,learning_rate)\n", "\n", " # Compute loss (MSE)\n", - " # loss = np.mean(np.square(predictions - targets))\n", + " loss = np.mean(np.square(predictions - targets))\n", " # binary cross-entropy loss\n", - " loss = np.mean(targets*np.log(predictions)-(1-targets)*np.log(1-predictions))\n", + " # loss = np.mean(targets*np.log(predictions)-(1-targets)*np.log(1-predictions))\n", " return(w1,b1,w2,b2,loss)" ] }, @@ -664,7 +654,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 16, "metadata": {}, "outputs": [], "source": [ @@ -685,7 +675,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 17, "metadata": {}, "outputs": [], "source": [ @@ -704,7 +694,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 18, "metadata": {}, "outputs": [], "source": [ @@ -728,7 +718,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 19, "metadata": {}, "outputs": [], "source": [ @@ -746,7 +736,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 20, "metadata": {}, "outputs": [], "source": [ @@ -773,19 +763,33 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 21, "metadata": {}, "outputs": [ { - "ename": "NameError", - "evalue": "name 'read_cifar_batch' is not defined", - "output_type": "error", - "traceback": [ - "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[1;31mNameError\u001b[0m Traceback (most recent call last)", - "\u001b[1;32mc:\\Users\\Utilisateur\\Documents\\GitHub\\image-classification\\Rapport.ipynb Cell 40\u001b[0m line \u001b[0;36m2\n\u001b[0;32m <a href='vscode-notebook-cell:/c%3A/Users/Utilisateur/Documents/GitHub/image-classification/Rapport.ipynb#X36sZmlsZQ%3D%3D?line=0'>1</a>\u001b[0m \u001b[39mif\u001b[39;00m \u001b[39m__name__\u001b[39m \u001b[39m==\u001b[39m \u001b[39m\"\u001b[39m\u001b[39m__main__\u001b[39m\u001b[39m\"\u001b[39m:\n\u001b[1;32m----> <a href='vscode-notebook-cell:/c%3A/Users/Utilisateur/Documents/GitHub/image-classification/Rapport.ipynb#X36sZmlsZQ%3D%3D?line=1'>2</a>\u001b[0m d, l \u001b[39m=\u001b[39m read_cifar_batch(\u001b[39m\"\u001b[39m\u001b[39mdata/cifar-10-batches-py/data_batch_1\u001b[39m\u001b[39m\"\u001b[39m)\n\u001b[0;32m <a href='vscode-notebook-cell:/c%3A/Users/Utilisateur/Documents/GitHub/image-classification/Rapport.ipynb#X36sZmlsZQ%3D%3D?line=2'>3</a>\u001b[0m num_epoch\u001b[39m=\u001b[39m\u001b[39m100\u001b[39m\n\u001b[0;32m <a href='vscode-notebook-cell:/c%3A/Users/Utilisateur/Documents/GitHub/image-classification/Rapport.ipynb#X36sZmlsZQ%3D%3D?line=3'>4</a>\u001b[0m d_train, l_train, d_test, l_test \u001b[39m=\u001b[39m split_dataset(d, l, \u001b[39m0.9\u001b[39m)\n", - "\u001b[1;31mNameError\u001b[0m: name 'read_cifar_batch' is not defined" + "name": "stderr", + "output_type": "stream", + "text": [ + "C:\\Users\\Utilisateur\\AppData\\Local\\Temp\\ipykernel_10836\\543686923.py:9: RuntimeWarning: overflow encountered in exp\n", + " a1 = 1 / (1 + np.exp(-z1)) # output of the hidden layer (sigmoid activation function)\n" ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "0.10551200057736793\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "<Figure size 640x480 with 1 Axes>" + ] + }, + "metadata": {}, + "output_type": "display_data" } ], "source": [ @@ -795,6 +799,7 @@ " d_train, l_train, d_test, l_test = split_dataset(d, l, 0.9)\n", "\n", " loss,test_accuracy=run_mlp_training(d_train, l_train, d_test, l_test,64,0.1,num_epoch)\n", + " print(test_accuracy)\n", " plt.plot(range(num_epoch), loss, label='evolution de la fonction loss par epoque')\n", " plt.xlabel('epoque')\n", " plt.ylabel('loss')\n", diff --git a/mlp.py b/mlp.py index ddf191f..16c2d71 100644 --- a/mlp.py +++ b/mlp.py @@ -5,8 +5,20 @@ import matplotlib.pyplot as plt def learning_methode(k,dk,learning_rate): k=k-learning_rate*dk + #normalisation de k entre [-1,1] + # max_k=np.max(k) + # min_k=np.min(k) + # k=(k*2)/(max_k-min_k)-min_k-1 + print(np.max(dk)) return(k) +def softmax(y): + y=np.exp(y) + v=np.sum(y,axis=1) + return(y / v[:, np.newaxis]) + +# def reugalisation(W) + def learn_once_mse(w1,b1,w2,b2,data,targets,learning_rate): # Forward pass a0 = data # the data are the input of the first layer @@ -14,10 +26,17 @@ def learn_once_mse(w1,b1,w2,b2,data,targets,learning_rate): a1 = 1 / (1 + np.exp(-z1)) # output of the hidden layer (sigmoid activation function) z2 = np.matmul(a1, w2) + b2 # input of the output layer a2 = 1 / (1 + np.exp(-z2)) # output of the output layer (sigmoid activation function) + # s=np.sum(a2,axis=1) + # a2=a2/s[:, np.newaxis] + # print(np.max(a2,axis=1)) + #a2=softmax(a2) + predictions = a2 # the predicted values are the outputs of the output layer + dc_da2=(2/data.shape[0])*(a2-targets) + # dc_da2=(1/data.shape[0])*((-targets/a2)-(1-targets)/(1-a2)) + # dc_da2=((np.ones(targets.shape)-2*targets)/(data.shape[0]*a2)) + # dc_da2=(-targets)/(data.shape[0]*a2) - #dc_da2=(2/data.shape[0])*(a2-targets) - dc_da2=(1/data.shape[0])*((-targets/a2)-(1-targets)/(1-a2)) dc_dz2=dc_da2*(a2*(1-a2)) dc_dw2=np.matmul(np.transpose(a1), dc_dz2) dc_db2=np.matmul(np.ones((1,dc_dz2.shape[0])),dc_dz2) @@ -31,10 +50,18 @@ def learn_once_mse(w1,b1,w2,b2,data,targets,learning_rate): w2=learning_methode(w2,dc_dw2,learning_rate) b2=learning_methode(b2,dc_db2,learning_rate) + # prediction_2 = np.zeros(predictions.shape, dtype=int) + # for i, ligne in enumerate(predictions): + # prediction_2[i][np.argmin(ligne)] = 1 + # indices_egalite = np.where(prediction_2 == targets)[0] + # nombre_indices = len(indices_egalite) + # Compute loss (MSE) # loss = np.mean(np.square(predictions - targets)) # binary cross-entropy loss - loss = np.mean(targets*np.log(predictions)-(1-targets)*np.log(1-predictions)) + # loss = np.mean(targets*np.log(predictions)-(1-targets)*np.log(1-predictions)) + # loss=np.mean(-np.log(np.max(targets*predictions,axis=1))) + # loss=np.mean((np.ones(targets.shape)-2*targets)*np.log(predictions)) return(w1,b1,w2,b2,loss) def one_hot(label): @@ -77,15 +104,18 @@ def run_mlp_training(data_train, labels_train, data_test, labels_test,d_h,learni d_in = data_train.shape[1] # input dimension d_out = max(labels_train) # output dimension (number of neurons of the output layer) - w1 = 2 * np.random.rand(d_in, d_h) - 1 # first layer weights - b1 = np.zeros((1, d_h)) # first layer biaises - w2 = 2 * np.random.rand(d_h, d_out) - 1 # second layer weights - b2 = np.zeros((1, d_out)) # second layer biaises + # w1 = 2 * np.random.rand(d_in, d_h) - 1 # first layer weights + # b1 = np.zeros((1, d_h)) # first layer biaises + # w2 = 2 * np.random.rand(d_h, d_out) - 1 # second layer weights + # b2 = np.zeros((1, d_out)) # second layer biaises + w1 = (2*np.random.rand(d_in, d_h)-1) # first layer weights + b1 = 2*np.random.rand(1, d_h)-1 # first layer biaises + w2 = 2*np.random.rand(d_h, d_out)-1 # second layer weights + b2 = 2*np.random.rand(1, d_out) -1 # second layer biaises w1,b1,w2,b2,loss=train_mlp(w1,b1,w2,b2,data_train, labels_train,learning_rate,num_epoch) test_accuracy=test_mlp(w1,b1,w2,b2,data_test, labels_test) - test_accuracy2=unit_test(w1,b1,w2,b2,data_test, labels_test) - print(test_accuracy,test_accuracy2) + #test_accuracy2=unit_test(w1,b1,w2,b2,data_test, labels_test) return(loss,test_accuracy) def unit_test(w1,b1,w2,b2,data_test, labels_test): @@ -98,7 +128,6 @@ def unit_test(w1,b1,w2,b2,data_test, labels_test): a2 = 1 / (1 + np.exp(-z2)) # output of the output layer (sigmoid activation function) predictions = a2 # the predicted values are the outputs of the output layer classe = np.argmax(predictions[0])+1 - if classe==labels_test[indexe]: pos+=1 return(pos/len(labels_test)) diff --git a/test.py b/test.py index 836906a..acf2c61 100644 --- a/test.py +++ b/test.py @@ -20,6 +20,13 @@ import numpy as np # filtered_dict = sorted(dico, key=lambda item: item[1][1]) # print(dico[0][0]) -K=np.array([8,4]) -dc_dw2=np.matmul(np.transpose(a1), dc_dz2) -print(K) \ No newline at end of file +mat=np.array([[1,2,3,4],[6,6,4,4],[3,2,4,85]]) +mat_exp=np.exp(mat) +v=np.sum(mat_exp,axis=1) +print(v) +mat_exp_norm=mat_exp/v[:, np.newaxis] + +vrai=np.array([[0,0,0,1],[1,0,0,0],[0,0,1,0]]) +print(-np.log(np.max(mat_exp_norm*vrai,axis=1))) +L=np.mean(-np.log(np.max(vrai*mat_exp_norm,axis=1))) +print(L) \ No newline at end of file -- GitLab