get it fixed!
Issue X_train = df_train["Base_Reviews"].values X_test = df_test["Base_Reviews"].values y_train = df_train[‘category’].values y_test = df_test[‘category’].values num_words = 20000 #Max. workds to use…
Issue Error: Uncaught (in promise) Error: Error when checking model : the Array of Tensors that you are passing to…
Issue I have made a model using Keras in R. I want to make a multitask regression with some shared…
Issue Am using Tensorflow 2.0 on Ubuntu 18.04. On running tf.config.list_physical_devices(‘GPU’) I get the above error. What is the workaround…
Issue The thing is i want to output the precisio, recall, and f1-score using classification report. But when i run…
Issue I’m getting "TypeError: Tensor is unhashable. Instead, use tensor.ref() as the key" I did a slight change to a…
Issue I have a tensor slice dataset made from two ragged tensors. tensor_a is like: <tf.RaggedTensor [[3, 3, 5], [3,…
Issue I built an image classification model and I want to get precision and recall but I don’t know how…
Issue TensorBuffer inputFeature0 = TensorBuffer.createFixedSize(new int[]{1, 224, 224, 3}, DataType.UINT8); ByteBuffer byteBuffer = ByteBuffer.allocateDirect(4* imageSize * imageSize * 3); byteBuffer.order(ByteOrder.nativeOrder());…
Issue I am trying to train a ResNet50 model using keras with tensorflow backend. I’m using a sagemaker GPU instance…