So I have been following a tutorial about Machine learning and I have come to this point in the code: When I execute this code it gives me the following Error: ValueError: Input 0 of layer conv2d_10 is incompatible with the layer: expected ndim=4, found ndim=3. Full shape received: [None, 100, 100] I have seen multiple posts about this and
Tag: keras
extracting images and their label one by one from ImageDataGenerator().flow_from_directory
so I imported my dataset(38 classes) for validation using ImageDataGenerator().flow_from_directory and i wanted to pick each image and its label one by one. For example i want to pick the first image and it’s label i tried this i get the image but for the label i just get an array of shape (32,38) with 0 and 1s Is there
Deploying Machine Learning Models Flask and REST API
Firstly, I am new to machine learning. I am trying to create a REST API which utilizes a Machine Learning Models with flask. The application When the user enters a speed value into a text box and …
Keras my_layer.output returning KerasTensor object instead of Tensor object (in custom loss function)
I’m trying to build a custom loss function in Keras v2.4.3: (as explained in this answer) But I think it’s behaving much different than expected (perhaps because of my Keras version?), I’m getting this error: And I think that’s because encoder.get_layer(‘mean’).output is returning a KerasTensor object instead of a tf.Tensor object (as the other answer indicates). What am I doing
ImportError: cannot import name ‘keras_tensor’ from ‘tensorflow.python.keras.engine’
I’m getting this error while loading the tensorflow addons library Answer This error is because you have incompatibility issues between your TensorFlow, Python and tensorflow-addons. Uninstall the tensorflow-addons and install the version based on the table below. Refer the Github repo for more information.
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 establishing a baseline uses the code same
How to deploy deep learning models in cloud? [closed]
Closed. This question needs details or clarity. It is not currently accepting answers. Want to improve this question? Add details and clarify the problem by editing this post. Closed 2 years ago. Improve this question I have built a deep learning model with python using keras (LSTM classifier for emotion speech recognition) and it’s works perfectly locally, but when i
Is the linear model trainable in Convolution or NN?
If I’ve an following layer Is this layer trainable? As we know derivative of linear function is constant, so in this cases will the weight get ever updated? Situation like also Answer The layer is trainable. Your data will be approximated by linear function. Training process is finding a function which is the best approximation of your data. If you
What is Keras’ Tokenizer fit_on_sequences used for?
I’m familiar with the method ‘fit_on_texts’ from the Keras’ Tokenizer. What does ‘fit_on_sequences’ do and when is it useful? According to the documentation, it “Updates internal vocabulary based on a list of sequences.”, and it takes as input: ‘A list of sequence. A “sequence” is a list of integer word indices.’. When is this useful? For fitting on texts, I
ValueError when using vae.fit in Keras
I am creating a vae model over the mnist dataset with hopes of plotting the loss function against the epochs. However I am experiencing some issues and was unable to find a solution online. During my imports I have the following imports (just to give some context to the code): I have also created a function called bn for my