I try to pass 2 loss functions to a model as Keras allows that. loss: String (name of objective function) or objective function or Loss instance. See losses. I
I already know that TensorFlow Lite (TFL) supports the Google Edge TPU, for instance through the Coral Dev Board (Linux required). However I'd like to know whet
I am working on a modified resnet, and want to insert dropout after activation layers. I have tried the following but due to the model not being sequential, it
TypeError: Failed to convert elements of SparseTensor(indices=Tensor("DeserializeSparse:0", shape=(None, 2), dtype=int64), values=Tensor("DeserializeSparse:1",
] You can check the Network Model and Result from the Photos. Result datas are stuck in the "average band" and can't forecasting the exact value. I used a 3ye
I used tfds.load to load Cityscapes dataset. The tf.data.Dataset object is enumerable and returns a dict for each enumeration. I added another value to each dic
I am trying to link with static C API version of the TensorFlow library. I built the static library using the following commands: // get the sources git clone h
I followed the instructions of this tutorial: https://www.tensorflow.org/extend/adding_an_op#implement_the_gradient_in_python. There is this comment provided: g
I am running ANFIS algorithm on iris dataset. While adding fuzzylayer to the model i am getting error like below: TypeError: <lambda>() got an unexpected
Recently, I have tried running a Github code but I obtained the following error: tensorflow.python.framework.errors_impl.InvalidArgumentError: Number of ways to
I am in the process of translating a Keras implementation to a PyTorch one. After the full conversion my model was not converging fast enough, although the loss
In the following code I have defined a Sequential model, that contains two parts conv_encoder and conv_decoder. After training the model I want to use conv_enco
I want to use keras to build a neural network regression model from X_train -> Y_train. In this example, however, I need to perform a preprocessing transform
I created a sequential neural network with Keras that has an input of 4 and an output of 8. I realize what I did was incorrect but I'm not sure as to why the co
I want to use matrix multiplication inside TF model. My model is a NN with input shape = (1,9). And I want to get a product of this vectors by themself (i.e. I
I'm trying to understand how to recover a saved/checkpointed net using tensorflow.train.Checkpoint.restore. I'm using code that's strongly based on Google's Col
I have a CNN model that has already been trained. Its training and validation accuracy are around 99%. I saved this model and then loaded it to make predictions
I have a CNN model that has already been trained. Its training and validation accuracy are around 99%. I saved this model and then loaded it to make predictions
I have pyhton 3.8.8 V I installed tha latest version of Cuda & Cudnn: Cuda: 11.6.1_511.65 Cudnn: windows-x86_64-8.3.2.44 Installation completed successfully
I'm trying to reproduce the officially reported mAP of EfficientDet D3 in the Object Detection API by training on COCO using a pretrained EfficientNet backbone.