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Questions - keras

tensorflow 2 use keras.sequence as data generator for training machine learning model with multiprocessing error

I would like to do a test about training a machine learning model on EC2 instance with only CPUs from jupyter notebook. The code is tensorflow 2.8. Based on the tf doc, https://www.tensorflow.org/api_...
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user3448011

python

tensorflow

machine-learning

keras

tensorflow-datasets

Votes: 0

Answers: 1

Latest Answer

If you want to parse / deserialize a tf.train.Example, you have to serialize it first by creating a protobuf string. Otherwise it makes no sense. Here is an example: import tensorflow.keras as keras i...
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AloneTogether

keras pad_sequence and Tokenizer

i learn on kaggle dataset Here to practice on nlp i have an error when i tokenize the tweets and go to padding them i got an error i search for an solution but i don't get answer # Get tha max Numbe...
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Ahmed Soliman

python

tensorflow

keras

nlp

tokenize

Votes: 0

Answers: 1

Latest Answer

The problem is that LENGTH is not an integer but a Pandas series. Try something like this: from sklearn.model_selection import train_test_split import pandas as pd import tensorflow as tf df = pd.Da...
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AloneTogether

ValueError: Input 0 of layer "sequential" is incompatible with the layer: expected shape=(None, 1000), found shape=(None, 30

I need help with this error. I am attempting to train my LSTM model after training the neural network and fine-tuning history = model.fit(XTrain ,yTrain, batch_size=250, epochs=100, validation_split=0...
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Celestine Akpanoko

python

tensorflow

keras

lstm

tensorflow2.0

Votes: 0

Answers: 0

What is the difference between Activation layer and activation keyword argument

guys what is the difference between activation kwarg and Activation layer in tensorflow? here's an example : activation kwarg : model.add(Dense(64,activation="relu")) Activation layer : mod...
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Abhimanyu Sharma

python

tensorflow

keras

Votes: 0

Answers: 1

Latest Answer

In Dense(64,activation="relu"), the relu activation function becomes a part of Dense layer, and will be called automatically whenever this Dense layer is called. In Activation("relu&quo...
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bui

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