Sklearn clearly defines how to plot a confusion matrix using its own classification model with plot_confusion_matrix. But what about using it with Keras model using data generators? Let’s have a look at an example code: First we need to train the model. Now after the model is trained let’s build a…
Tag: tensorflow2.0
tensorflow: InvalidArgumentError while find the AUC score
I have a dataset with labels 0’s and 1’s, which is binary classification problem. Getting error while try to find AUC score using tf.keras.metrics.AUC() as metrics in model.compile(.. function. Code: If I removed AUC from metrics, the code runs fine. Error: InvalidArgumentError: assertion failed: …
shape of an output tensor after convolutional filter on a colour image
I find it difficult to understand a notion about tensors. For VGG (https://www.tensorflow.org/api_docs/python/tf/keras/applications/VGG16), we start from a batch of colour images (none,224,224,3) and apply 64 2D convolutional filters. At the output we obtain a tensor of (none,224,224,64), we can see this by m…
InvalidArgumentError: StringToNumberOp could not correctly convert string
I am trying to extract the labels from a file path of the form: The labels are 26, 0 and 3 in the file name first I create a list dataset: then I define a function that reads the image and gets the labels and use .map() on list_ds when I print some one of the labels as a sanity
Exponential of SparseTensor with mapping
I want to take the exp of each element in the sparse matrix. Here is a simple example: But this gives the followig error: Can you please help me to sort this out without converting this to dense matrix? Answer If you have Tensorflow 2.4, you can use tf.sparse.map_values: Here is the magic: Note that tf.sparse…
converting xavier to glorot in tensorflow code
I am trying to convert xavier initializer in a tensorflow code to glorot initializer. I am not sure which one of the following (or other options) is correct? Answer Based on the code for xavier_initializer, the default is uniform=True which suggests glorot_uniform may be what you want. If you are using tf2, y…
Why is the result of the code offered by Deep Learning with TensorFlow different from the snapshot in its book
In the first chapter of Deep Learning with TensorFlow, it gives an example on how to build a simple neural network for recognizing handwritten digits. According to its description, the code bundle for the book can be found at GitHub. From the context, I think section Running a simple TensorFlow 2.0 net and es…
Loading a large dataset from CSV files in TensorFlow
I use the following code to load a bunch of images in my data set in TensorFlow, which works well: I am wondering how I can use a similar code to load a bunch of CSV files. Each CSV file has a shape 256 x 256 and can be assumed as a grayscale image. I don’t know what I should
Implementing Multiclass Dice Loss Function
I am doing multi class segmentation using UNet. My input to the model is HxWxC and my output is, Using SparseCategoricalCrossentropy I can train the network fine. Now I would like to also try dice coefficient as the loss function. Implemented as follows, However, I am actually getting an increasing loss inste…
Tensorflow 2.3, Tensorflow dataset, TypeError: () takes 1 positional argument but 4 were given
I use tf.data.TextLineDataset to read 4 large files and I use tf.data.Dataset.zip to zip these 4 files and create “dataset”. However, I can not pass “dataset” to dataset.map to use tf.compat.v1.string_split and split with t separator and finally use batch, prefetch and finally feed int…