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Madam while running train.py from Deep-Learning/depth_estimation/ i received the following error
TypeError: 'Not JSON Serializable' while doing tf.keras.Model.save
after completing one epoch
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Hola. Que al intentar correr
mlp.fit(X_train, y_train_onehot, epochs=40, batch_size=32, verbose=1, validation_split=0.2 )
Me sale el siguiente error:
. I have 10000 background images.…
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After initializing a keras model:
``` ruby
def build_keras_regressor_model():
model = keras.Sequential([
layers.Dense(64, activation='relu', input_shape=[len(train_dataset.keys())]),
la…
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I'm running the below example in tf 2.0 and I get an error `AttributeError: module 'tensorflow_core._api.v2.train' has no attribute 'export_meta_graph'`. It seems the build_graph function is incompati…
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## Environment
* OS: MacOS
* Python version: 3.11
* DeepChem version: 2.8.0
* RDKit version (optional): 2024.3.1
* TensorFlow version (optional): 2.16.2
* PyTorch version (optional):
## …
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Will it be better when I use nn.Embedding(num_embeddings=256) to handle emg_data? Due to its range from [-128,127].
I use Pytorch to reproduce your project. However, my model's accuracy on val data i…
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**System information**.
- Have I written custom code (as opposed to using a stock example script provided in Keras): Yes
- OS Platform and Distribution (e.g., Linux Ubuntu 16.04): Debian Unstable
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Following code is failing for me and have shared TF version summary also. Is this module not compatible with tensorflow-gpu 2.0.0b1 ?
from classification_models.keras import Classifiers
ResNet1…
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```
v = ViT(
image_size = 256,
patch_size = 32,
num_classes = 4,
dim = 1024,
depth = 6,
heads = 16,
mlp_dim = 2048,
dropout = 0.1,
emb_dropout = 0.1
)
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