01_simple-RNN-0.ipynb

01_simple-RNN-1.ipynb

01_simple-RNN-10.ipynb

01_simple-RNN-11.ipynb

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01_simple-RNN-13.ipynb

01_simple-RNN-14.ipynb

01_simple-RNN-15.ipynb

01_simple-RNN-16.ipynb

01_simple-RNN-2.ipynb

01_simple-RNN-3.ipynb

01_simple-RNN-4.ipynb

01_simple-RNN-5.ipynb

01_simple-RNN-6.ipynb

01_simple-RNN-7.ipynb

01_simple-RNN-8.ipynb

{"cells": [{"cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [{"name": "stdout", "output_type": "stream", "text": ["Epoch 1/100\n", " - 7s - loss: 0.7639\n", "Epoch 2/100\n", " - 1s - loss: 0.4325\n", "Epoch 3/100\n", " - 1s - loss: 0.4140\n", "Epoch 4/100\n", " - 1s - loss: 0.4124\n", "Epoch 5/100\n", " - 1s - loss: 0.4048\n", "Epoch 6/100\n", " - 1s - loss: 0.4024\n", "Epoch 7/100\n", " - 1s - loss: 0.3989\n", "Epoch 8/100\n", " - 1s - loss: 0.3947\n", "Epoch 9/100\n", " - 1s - loss: 0.3917\n", "Epoch 10/100\n", " - 1s - loss: 0.3912\n", "Epoch 11/100\n", " - 1s - loss: 0.3889\n", "Epoch 12/100\n", " - 1s - loss: 0.3908\n", "Epoch 13/100\n", " - 1s - loss: 0.3847\n", "Epoch 14/100\n", " - 1s - loss: 0.3862\n", "Epoch 15/100\n", " - 1s - loss: 0.3829\n", "Epoch 16/100\n", " - 1s - loss: 0.3755\n", "Epoch 17/100\n", " - 1s - loss: 0.3829\n", "Epoch 18/100\n", " - 1s - loss: 0.3742\n", "Epoch 19/100\n", " - 1s - loss: 0.3674\n", "Epoch 20/100\n", " - 1s - loss: 0.3691\n", "Epoch 21/100\n", " - 1s - loss: 0.3724\n", "Epoch 22/100\n", " - 1s - loss: 0.3703\n", "Epoch 23/100\n", " - 1s - loss: 0.3643\n", "Epoch 24/100\n", " - 1s - loss: 0.3625\n", "Epoch 25/100\n", " - 1s - loss: 0.3631\n", "Epoch 26/100\n", " - 1s - loss: 0.3631\n", "Epoch 27/100\n", " - 1s - loss: 0.3628\n", "Epoch 28/100\n", " - 1s - loss: 0.3552\n", "Epoch 29/100\n", " - 1s - loss: 0.3560\n", "Epoch 30/100\n", " - 1s - loss: 0.3585\n", "Epoch 31/100\n", " - 1s - loss: 0.3478\n", "Epoch 32/100\n", " - 1s - loss: 0.3495\n", "Epoch 33/100\n", " - 1s - loss: 0.3499\n", "Epoch 34/100\n", " - 1s - loss: 0.3411\n", "Epoch 35/100\n", " - 1s - loss: 0.3415\n", "Epoch 36/100\n", " - 1s - loss: 0.3381\n", "Epoch 37/100\n", " - 1s - loss: 0.3396\n", "Epoch 38/100\n", " - 1s - loss: 0.3311\n", "Epoch 39/100\n", " - 1s - loss: 0.3328\n", "Epoch 40/100\n", " - 1s - loss: 0.3291\n", "Epoch 41/100\n", " - 1s - loss: 0.3262\n", "Epoch 42/100\n", " - 1s - loss: 0.3210\n", "Epoch 43/100\n", " - 1s - loss: 0.3249\n", "Epoch 44/100\n", " - 1s - loss: 0.3210\n", "Epoch 45/100\n", " - 1s - loss: 0.3164\n", "Epoch 46/100\n", " - 1s - loss: 0.3159\n", "Epoch 47/100\n", " - 1s - loss: 0.3071\n", "Epoch 48/100\n", " - 1s - loss: 0.3031\n", "Epoch 49/100\n", " - 1s - loss: 0.3018\n", "Epoch 50/100\n", " - 1s - loss: 0.2984\n", "Epoch 51/100\n", " - 1s - loss: 0.3010\n", "Epoch 52/100\n", " - 1s - loss: 0.2901\n", "Epoch 53/100\n", " - 1s - loss: 0.2881\n", "Epoch 54/100\n", " - 1s - loss: 0.2847\n", "Epoch 55/100\n", " - 1s - loss: 0.2789\n", "Epoch 56/100\n", " - 1s - loss: 0.2759\n", "Epoch 57/100\n", " - 1s - loss: 0.2741\n", "Epoch 58/100\n", " - 1s - loss: 0.2668\n", "Epoch 59/100\n", " - 1s - loss: 0.2603\n", "Epoch 60/100\n", " - 1s - loss: 0.2589\n", "Epoch 61/100\n", " - 1s - loss: 0.2579\n", "Epoch 62/100\n", " - 1s - loss: 0.2502\n", "Epoch 63/100\n", " - 1s - loss: 0.2473\n", "Epoch 64/100\n", " - 1s - loss: 0.2426\n", "Epoch 65/100\n", " - 1s - loss: 0.2319\n", "Epoch 66/100\n", " - 1s - loss: 0.2306\n", "Epoch 67/100\n", " - 1s - loss: 0.2281\n", "Epoch 68/100\n", " - 1s - loss: 0.2242\n", "Epoch 69/100\n", " - 1s - loss: 0.2205\n", "Epoch 70/100\n", " - 1s - loss: 0.2181\n", "Epoch 71/100\n", " - 1s - loss: 0.2095\n", "Epoch 72/100\n", " - 1s - loss: 0.2083\n", "Epoch 73/100\n", " - 1s - loss: 0.2023\n", "Epoch 74/100\n", " - 1s - loss: 0.1980\n", "Epoch 75/100\n", " - 1s - loss: 0.1979\n", "Epoch 76/100\n", " - 1s - loss: 0.1899\n", "Epoch 77/100\n", " - 1s - loss: 0.1857\n", "Epoch 78/100\n", " - 1s - loss: 0.1832\n", "Epoch 79/100\n", " - 1s - loss: 0.1764\n", "Epoch 80/100\n", " - 1s - loss: 0.1780\n", "Epoch 81/100\n", " - 1s - loss: 0.1701\n", "Epoch 82/100\n", " - 1s - loss: 0.1676\n", "Epoch 83/100\n", " - 1s - loss: 0.1635\n", "Epoch 84/100\n", " - 1s - loss: 0.1614\n", "Epoch 85/100\n", " - 1s - loss: 0.1601\n", "Epoch 86/100\n", " - 1s - loss: 0.1538\n", "Epoch 87/100\n", " - 1s - loss: 0.1492\n", "Epoch 88/100\n", " - 1s - loss: 0.1477\n", "Epoch 89/100\n", " - 1s - loss: 0.1400\n", "Epoch 90/100\n", " - 1s - loss: 0.1365\n", "Epoch 91/100\n", " - 1s - loss: 0.1354\n", "Epoch 92/100\n", " - 1s - loss: 0.1334\n", "Epoch 93/100\n", " - 1s - loss: 0.1303\n", "Epoch 94/100\n", " - 1s - loss: 0.1269\n", "Epoch 95/100\n", " - 1s - loss: 0.1231\n", "Epoch 96/100\n", " - 1s - loss: 0.1245\n", "Epoch 97/100\n", " - 1s - loss: 0.1151\n", "Epoch 98/100\n", " - 1s - loss: 0.1133\n", "Epoch 99/100\n", " - 1s - loss: 0.1130\n", "Epoch 100/100\n", " - 1s - loss: 0.1077\n"]}], "source": ["history = model.fit(trainX,trainY, epochs=100, batch_size=16, verbose=2)"]}], "metadata": {"kernelspec": {"display_name": "tensorflow", "language": "python", "name": "tensorflow"}, "language_info": {"codemirror_mode": {"name": "ipython", "version": 3}, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.6.8"}}, "nbformat": 4, "nbformat_minor": 2}

01_simple-RNN-9.ipynb