Reading Tensorflow Dataset changes bahaviour of `take()` and `skip()`

I am trying to inspect the labels inside my tensorflow dataset. However, the values of the labels change to something unexpected after using take() and skip(), depending on whether I inspect the data …

Getting the number of words from tf.Tokenizer after fitting

I initially tried making an RNN that can predict Shakespeare text, and I did it successfully using character level-encoding. But when I switched to word level encoding, I ran into a multitude of …

Why is Keras complaining about incompatible input shape in this case?

I have trained a Keras-based autoencoder model with the following input layer: depth = 1 width = height = 100 input_shape = (height, width, depth) inputs = Input(shape=input_shape) # rest of network …

How to train a Keras autoencoder with custom dataset?

I am reading this tutorial in order to create my own autoencoder based on Keras. I followed the tutorial step by step, the only difference is that I want to train the model using my own images data …

ValueError: Object arrays cannot be loaded when allow_pickle=False

I tried to get solution for this code , hoping for a positive response much_data = np.load(‘muchdata-50-50-20.npy’) output: ValueError Traceback (most recent call last)…

LSTM neural network test to predict SPY prices giving me this error after training

Error is as follows: Traceback (most recent call last): File “/Users/myname/PycharmProjects/LSTM1P/venv/lib/python3.7/site-packages/pandas/core/indexes/base.py”, line 3080, in get_loc …

Training a single model jointly over multiple datasets in tensorflow

I want to train a single variational autoencoder model or even a standard autoencoder over many datasets jointly (e.g. mnist, cifar, svhn, etc. where all the images in the datasets are resized to be …

TensorFlow CNN Incompatible Shapes: 4D input shape

I have sample data in the form: Data[n][31][31][5][2] with: “[n]” being the sample “[31][31]” being the array of data points “[5]” being the number of bits within that …

How to get multiprocessing for subtask work with tensorflow-gpu?

Basically I use tf-gpu 2.3rc0 to perform image detection on a video stream. For each loop, there’s a subtask runs separately. So I try to use Pool from multiprocessing The structure is like: while …

Non-zero binary accuracy but 0 accuracy in Keras classifer

I’m trying to train an LSTM classifier in TensorFlow. Here is a reproducible example targets = np.array([1, 0, 1, 1, 0, 0]) features = np.arange(6, 2, 1) model = tf.keras.Sequential([ tf.keras….