All Questions

I have built a fully-connected neural network in both scikit-learn (v 0.20.0) and Keras (v 2.2.4) with TensorFlow backend (v 1.12.0). There are 10 units in the single hidden layer. In both cases I ...

model= Sequential() model.add(keras.layers.Embedding(vocab_size,output_dim=100,input_length=input_len,weights=[embedding_matrix],trainable=False)) model.add(keras.layers.Bidirectional(keras.layers....

I am trying custom training on TensorFlow 2.0 alpha and at the same time I am trying to add some metrics and my training graph to TensorBoard. Consider the following contrived example import ...

Python novice here... If I only import TensorFlow's root package, auto-complete doesn't seem to work for tf.contrib due to that module being loaded through LazyLoader: However, if I import tensorflow....

I am working on a tensorflow model which takes pretty much RAM. It is executed iteratively to process given tasks. However, with increasing time the whole process starts consuming more and more RAM ...

I'm trying to build a neural network for a multi-label classification problem. Situation In an input image there could be multiple output classes (and they're not mutually exclusive). There are ...

So this question might stem from a lack of knowledge about tensorflow. But I am trying to build a multilayer perceptron with tensorflow 2.0, but without Keras. The reason being that it is a ...

I am trying to follow along with the guide at http://www.hackevolve.com/where-cnn-is-looking-grad-cam/, using Tensorflow's new eager execution mode. One line in particular has me stumped: grads = K....

I have been given a frozen (.pb) graph that has dynamic shapes for input (e.g. "None, None, None, 3" or "?x?x?x3"). I want to set these to a static shape (e.g. "1, 320, 320, 3"), however I am unsure ...

I am trying to use Tensorflow object detection API models in another custom model I built (in the same codebase). Specifically, I am trying to figure out how below can be handled (mutually exclusive ...

Using model.save() I am able to save the trained model. However, upon using the model for predictions, I still need to recover the respective class/label mappings (0: 'cat', 1: 'dog' ... etc.). ...

I have created a tfRecord file to store data. I have to store Hindi text so, I have saved it in the bytes using string.encode('utf-8'). But, I am stuck at the time of reading the data. I am reading ...

I have a tensorflow pre-trained model in a checkpoint form, and I intended to deploy the model for serving by converting the model into the savedmodel form. The size of the saved model is kind of too ...

CRF++ allows us to get marginal probabilities for each tag (a kind of confidece measure for each output tag) and a conditional probably for the output (confidence measure for the entire output). % ...

Theres not that much information given in the TensorFlow documentation: https://www.tensorflow.org/api_docs/python/tf/train/Example https://www.tensorflow.org/api_docs/python/tf/train/SequenceExample ...