diff --git a/Loss.ipynb b/Loss.ipynb index 4168289..aa848b9 100644 --- a/Loss.ipynb +++ b/Loss.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "code", - "execution_count": 20, + "execution_count": 1, "metadata": {}, "outputs": [], "source": [ @@ -13,7 +13,7 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 2, "metadata": {}, "outputs": [], "source": [ @@ -32,14 +32,14 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 3, "metadata": {}, "outputs": [ { "data": { - "image/png": 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40Q4BzMqC+fNt1AFbfYqO3hMlKhx3HJx/Pp4LLuDC8/ty4YXBqPDzzzB+Mrz8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\nwETflR4T1kAZY65YbGwstbW11kiZEFWltrY2dI9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hB3ouWQKLp5D/9c0s357A13Tnqx9689YPl/HSS1ZXzQWtvXTvYePSS60nauTn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\nyU+rsOQo8J6I7BcnvVQiqfxegqQC/z/asPocYLS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"text/plain": [ - "" + "" ] }, "metadata": {}, @@ -68,15 +68,15 @@ }, { "cell_type": "code", - "execution_count": 23, + "execution_count": 4, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "0.958884400981\n", - "0.96325833244\n" + "0.929565625531\n", + "0.929176788245\n" ] } ], diff --git a/main.py b/main.py index 4a3086d..dcf6712 100644 --- a/main.py +++ b/main.py @@ -148,7 +148,7 @@ def optimize(nn_last_layer, correct_label, learning_rate, num_classes): is_correct_prediction = tf.equal(tf.argmax(reshaped_logits, 1), tf.argmax(reshaped_correct_label, 1)) accuracy_op = tf.reduce_mean(tf.cast(is_correct_prediction, tf.float32), name="accuracy_op") - opt = tf.train.AdamOptimizer(learning_rate=learning_rate) + opt = tf.train.AdadeltaOptimizer(learning_rate=learning_rate) update_ops = tf.get_collection(tf.GraphKeys.UPDATE_OPS) if TRANSFER_LEARNING_MODE: