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@dfalbel dfalbel released this 29 Mar 19:07
v2.4.0
0cfffa2
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dfalbel Daniel Falbel
GPG key ID: 86D67393B1F8D380
Learn about vigilant mode.
  • Use compat module when using set_session and get_session. (#1046)
  • Allows passing other arguments to keras_model eg name. (#1045)
  • Fixed bug when serializing models with the plaidml backends.(#1084)
  • Install keras no longer tries to install scipy because it's already installed by tensorflow (#1081)
  • Fixed bug with layer_text_vectorization with TensorFlow >= 2.3 (#1131)
  • Handle renamed argument text to input_text in text_one_hot (#1133)
  • Added TensorFlow 2.3 to the CI (#1102)
  • Fix C stack error when using Image Data Generators and Time Series generators with TensorFlow <= 2.0.1 (#1135)
  • Fixed warning raised in the initial epoch (@gsteinbu #1130)
  • Consistent result when using text_hashing_trick with missing values (@topepo #1048)
  • Added a custom error message for k_logsumexp as it was removed from Keras (#1137)
  • Fixed bug when printing models that are not built yet. (#1138)
  • Fix drop_duplicates DeprecationWarning with tf 2.3 (@gsteinbu #1139 #1141)
  • Fixed bug when plotting the model history if the model used an early stopping callback (#1140)
  • install_keras now installs a fixed version of h5py, because newer versions are backward incompatible. (#1142)
  • Simplify testing utilities by using a helper-* file. (#1173)
  • Deprecated hdf5_matrix if using TF >= 2.4 (#1175)
  • Fixed TensorFlow nightly installation on CI (#1176)
  • Support for TensorFlow v2.4: just small fixes for custom classes. (#1177)
  • Added untar argument to get_file as it seems to be slightly different from extract (#1179)
  • Warn when not using the tensorflow implementation of Keras (#1181)
  • Added layer_layer_normalization (#1183)
  • Added layer_multihead_attention (#1184)
  • Added image_dataset_from_directory (#1185)
  • Fixed bug when using a custom layer with a time distributed adverb. (#1188)
  • Added the ragged argument to layer_input. (#1193)
  • Fixed *_generator deadlocks with recent versions of TensorFlow (#1197)
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