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Code Resource：https://github.com/MoreYoungGavin/02040208_Study_TensorFlowGo! Let is TensorFlow together,TensorFlow is Tensor and Flow.

Linear RegressionMSEboston = datasets.load_boston()x_data = preprocessing.StandardScaler().fit_transform(boston.data)y_data = boston.targetx = tf.placeholder(tf.float64,shape=(None,13))y_true...

Word2vecbatch_size = 64embedding_dimension = 5negative_samples = 8LOG_DIR = "logs/word2vec_intro"digit_to_word_map = {1: "One", 2: "Two", 3: "Three", 4: "Four", 5: "Five",6: "Six"

Scan How to do it?elems = np.array(["T","e","n","s","o","r"," ","F","l","o","w"])scan_sum = tf.scan(lambda a, x:a+x,elems)sess = tf.Inter

Convolutiontf.nn,conv2d(x,W,strides=[1,1,1,1],padding=’SAME)Poolingtf.nn.max_pool(x,ksize=[1,2,2,1],strides=[1,2,2,1],padding=’SAME)Dropouttf.nn.dropout(layer,keep_prob=keep_prob)MNIST_...

Create Graph How to do it?a = tf.constant(5)b = tf.constant(2)c = tf.constant(3)d = tf.multiply(a, b)e = tf.add(c, b)f = tf.subtract(d, e)with tf.Session() as sess: ans = sess.run(f)...

HelloWorldh = tf.constant("Hello")w = tf.constant(" World!")hw = h + wwith tf.Session() as sess: ans = sess.run(hw)print(ans)softmaxDATA_DIR = '/tmp/data'NUM_STEPS = 1000MINIBATCH_S...

I think this type issue is version compatibility problem.you need find other version in official website or to reduce current version.I begin use pip install tensorflow,see the issue,then,I am also ...

Pip install tensorflow

TFrecord Read and Writesave_dir = "D:\\mnist"data_sets = mnist.read_data_sets(save_dir,dtype=tf.uint8,reshape=False,validation_size=1000)data_splits = ["train", "test", "validation"]for d in ran...