12/20/2023 0 Comments Tf keras models sequential![]() ![]() # Presumably you would want to first load pre-trained weights.Keras is a neural network Application Programming Interface (API) for Python that is tightly integrated with TensorFlow, which is used to build machine learning models. ![]() Outputs=initial_model.get_layer(name="my_intermediate_layer").output, Layers.Conv2D(32, 3, activation="relu", name="my_intermediate_layer"), Layers.Conv2D(32, 5, strides=2, activation="relu"), ![]() # Now that we have 4x4 feature maps, time to apply global max pooling. # The answer was: (40, 40, 32), so we can keep downsampling. # Can you guess what the current output shape is at this point? Probably not. Model.add(layers.Conv2D(32, 3, activation="relu")) Model.add(layers.Conv2D(32, 5, strides=2, activation="relu")) Model.add(layers.Dense(2, activation="relu", input_shape=(4,))) Number of weights after calling the model: 6 Print("Number of weights after calling the model:", len(model.weights)) # 6 Layer.weights # Now it has weights, of shape (4, 3) and (3,) Model.add(layers.Dense(4, name="layer3")) Model.add(layers.Dense(3, activation="relu", name="layer2")) Model.add(layers.Dense(2, activation="relu", name="layer1")) model = keras.Sequential(name="my_sequential") Model.add(layers.Dense(3, activation="relu")) ![]() Model.add(layers.Dense(2, activation="relu")) Layer2 = layers.Dense(3, activation="relu", name="layer2") Layer1 = layers.Dense(2, activation="relu", name="layer1") Layers.Dense(3, activation="relu", name="layer2"), Layers.Dense(2, activation="relu", name="layer1"), 개략적으로 다음과 같은 Sequential 모델은 # Define Sequential model with 3 layers If you would like to use Nvidia GPU with TensorRT, please make sure the missing libraries mentioned above are installed properly. 22:19:05.490509: W tensorflow/compiler/tf2tensorrt/utils/py_:38] TF-TRT Warning: Cannot dlopen some TensorRT libraries. 22:19:05.490499: W tensorflow/compiler/xla/stream_executor/platform/default/dso_:64] Could not load dynamic library 'libnvinfer_plugin.so.7' dlerror: libnvinfer_plugin.so.7: cannot open shared object file: No such file or directory 22:19:05.490410: W tensorflow/compiler/xla/stream_executor/platform/default/dso_:64] Could not load dynamic library 'libnvinfer.so.7' dlerror: libnvinfer.so.7: cannot open shared object file: No such file or directory ![]()
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