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study : machine learning/ deep learning (tensorflow)/ rnn /reinforcement learning

LKH-1 / timeseries_cnn.py

Created May 22, 2018 11:39 — forked from jkleint/timeseries_cnn.py

Example of using Keras to implement a 1D convolutional neural network (CNN) for timeseries prediction.

	#!/usr/bin/env python
	"""
	Example of using Keras to implement a 1D convolutional neural network (CNN) for timeseries prediction.
	"""

	from __future__ import print_function, division

	import numpy as np
	from keras.layers import Convolution1D, Dense, MaxPooling1D, Flatten
	from keras.models import Sequential

LKH-1 / Q-Exploration.ipynb

Created September 23, 2017 04:49 — forked from awjuliani/Q-Exploration.ipynb

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LKH-1 / reinforcement_learning.py

Created May 22, 2017 11:15 — forked from yujuwon/reinforcement_learning.py

	from yahoo_finance import Share
	import matplotlib.pyplot as plt
	import numpy as np
	import tensorflow as tf
	import random
	%matplotlib inline

	class DecisionPolicy:
	def select_action(self, current_state, step):
	pass

LKH-1 / RNN_hunkim's_tutorial_BasicRNNCell.ipynb

Created January 22, 2017 02:09 — forked from j-min/RNN_hunkim's_tutorial_BasicRNNCell.ipynb

TensorFlow 0.9 implementation of BasicRNNCell based on hunkim's tutorial

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LKH-1 / 2016-07-18-rnn-lstm.md

Created December 28, 2016 03:13 — forked from MinjeJeon/2016-07-18-rnn-lstm.md

RNN, LSTM 관련글 링크

강의 슬라이드