[ad_1] Why do we use tf.name_scope() [ad_2]
StackOverflow Latest Questions
[ad_1] The link you posted says: “we get a “batch” of one hundred random data points from our training set”. In my example I use a global function (not a method like in your example) so there will ...
[ad_1] They are nearly the same, but there is a little difference in the structure of input and output. From documentation: tf.nn.dynamic_rnn This function is functionally identical to the function rnn above, but >performs fully dynamic unrolling of inputs. Unlike rnn, ...
[ad_1] I’m getting this error ‘ValueError: Tensor Tensor(“Placeholder:0”, shape=(1, 1), dtype=int32) is not an element of this graph.’ The code is running perfectly fine without with tf.Graph(). as_default():. However I need to call M.sample(...) multiple times and each ...
[ad_1] I will showcase how to implement a regression model using Tensorflow’s functional API. In multitask learning, we need a base network that is shared between tasks and a network head for each individual task: from tensorflow.keras import layers, models, ...
[ad_1] You’re using outdated imports for tf.keras. Layers can now be imported directly from tensorflow.keras.layers: from tensorflow.keras.models import Sequential from tensorflow.keras.layers import ( BatchNormalization, SeparableConv2D, MaxPooling2D, Activation, Flatten, Dropout, Dense ) from tensorflow.keras import backend as K class CancerNet: ...
[ad_1] I’m playing around with tensorflow and ran into a problem with the following code: def _init_parameters(self, input_data, labels): # the input shape is (batch_size, input_size) input_size = tf.shape(input_data)[1] # ...
[ad_1] I’m trying to install tensorflow r0.11. I tried pip install tensorflow==r0.11 pip install tensorflow<0.12 But I get this error Could not find a version that satisfies the requirement tensorflow==0.11.0 (from versions: 0.12.0rc0, 0.12.0rc1, 0.12.0, 0.12.1) No matching distribution found for tensorflow==0.11.0 I assume ...
[ad_1] This sets up naturally as a multistep Integer Program, with the holdings in {apples, pears, oranges} from the previous step factoring in the calculation of the relative change in holdings that must be constrained. There is no ...
[ad_1] I have a Keras model that I am trying to export and use in a different python code. Here is my code: from keras.models import Sequential from keras.layers import Dense, Embedding, LSTM, GRU, Flatten, Dropout, Lambda from keras.layers.embeddings import Embedding import tensorflow ...
Stats

Questions : 43k