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  • VGG16 and VGG19 - KerasExplore further

    2021-12-18u2002·u2002input_tensor: optional Keras tensor (i.e. output of layers.Input()) to use as image input for the model. input_shape: optional shape tuple, only to be specified if include_top is False (otherwise the input shape has to be (224, 224, 3) (with channels_last data format) or (3, 224, 224) (with channels_first data format). It should have exactly 3 ...

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  • InceptionV3 - Keras

    2021-12-18u2002·u2002input_tensor is useful for sharing inputs between multiple different networks. Default to None. input_shape: Optional shape tuple, only to be specified if include_top is False (otherwise the input shape has to be (299, 299, 3) (with channels_last data format) or (3, 299, 299) (with channels_first data format). It should have exactly 3 inputs ...

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  • Modeling Data and Curve Fitting — Non-Linear Least

    2021-10-14u2002·u2002Modeling Data and Curve Fitting¶. A common use of least-squares minimization is curve fitting, where one has a parametrized model function meant to explain some phenomena and wants to adjust the numerical values for the model so that it most closely matches some data.With scipy, such problems are typically solved with scipy.optimize.curve_fit, which is a …

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  • Define a model — TensorLayer 2.2.4 documentation

    2021-1-29u2002·u2002Define a model¶. TensorLayer provides two ways to define a model. Static model allows you to build model in a fluent way while dynamic model allows you to fully control the forward process.

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  • models.ldaseqmodel – Dynamic Topic Modeling in Python

    2021-8-30u2002·u2002lda_model ( LdaModel) – Model whose sufficient statistics will be used to initialize the current object if initialize == 'gensim'. obs_variance ( float, optional) –. Observed variance used to approximate the true and forward variance as shown in David M. Blei, John D. Lafferty: 'Dynamic Topic Models'. chain_variance ( float ...

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  • Developer Guide :: NVIDIA Deep Learning TensorRT

    2021-12-14u2002·u2002This NVIDIA TensorRT Developer Guide demonstrates how to use the C++ and Python APIs for implementing the most common deep learning layers. It shows how you can take an existing model built with a deep learning framework and build a TensorRT engine using the provided parsers. The Developer Guide also provides step-by-step instructions for common …

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  • Chapter 6. Entity-Relationship Modelling - cs.uct.ac.za

    2017-2-25u2002·u2002The above model looks okay at first glance, but it has a pitfall. The model says a faculty has many departments and many staff. Although the model seems to capture all the necessary information, it is difficult to know which department staff are affiliated to. To find out the departments the staff belong to, we will start from the staff entity.

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  • detectron2.modeling — detectron2 0.6 documentation

    2021-12-27u2002·u2002detectron2.modeling.poolers module¶ class detectron2.modeling.poolers.ROIPooler (output_size, scales, sampling_ratio, pooler_type, canonical_box_size = 224, canonical_level = 4) [source] ¶. Bases: torch.nn.Module Region of interest feature map pooler that supports pooling from one or more feature maps.

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  • transformers/modeling_gpt2.py at master · huggingface ...

    loss (`torch.FloatTensor` of shape `(1,)`, *optional*, returned when `labels` is provided): Language modeling loss. mc_loss (`torch.FloatTensor` of shape `(1,)`, *optional*, returned when `mc_labels` is provided): Multiple choice classification loss. logits (`torch.FloatTensor` of shape `(batch_size, num_choices, sequence_length, config.vocab ...

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  • VGG16 and VGG19 - Keras

    2021-12-18u2002·u2002input_tensor: optional Keras tensor (i.e. output of layers.Input()) to use as image input for the model. input_shape: optional shape tuple, only to be specified if include_top is False (otherwise the input shape has to be (224, 224, 3) (with channels_last data format) or (3, 224, 224) (with channels_first data format). It should have exactly 3 ...

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  • InceptionV3 - Keras

    2021-12-18u2002·u2002input_tensor is useful for sharing inputs between multiple different networks. Default to None. input_shape: Optional shape tuple, only to be specified if include_top is False (otherwise the input shape has to be (299, 299, 3) (with channels_last data format) or (3, 299, 299) (with channels_first data format). It should have exactly 3 inputs ...

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  • Modeling Data and Curve Fitting — Non-Linear Least

    2021-10-14u2002·u2002Modeling Data and Curve Fitting¶. A common use of least-squares minimization is curve fitting, where one has a parametrized model function meant to explain some phenomena and wants to adjust the numerical values for the model so that it most closely matches some data.With scipy, such problems are typically solved with scipy.optimize.curve_fit, which is a …

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  • Define a model — TensorLayer 2.2.4 documentation

    2021-1-29u2002·u2002Define a model¶. TensorLayer provides two ways to define a model. Static model allows you to build model in a fluent way while dynamic model allows you to fully control the forward process.

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  • models.ldaseqmodel – Dynamic Topic Modeling in Python

    2021-8-30u2002·u2002lda_model ( LdaModel) – Model whose sufficient statistics will be used to initialize the current object if initialize == 'gensim'. obs_variance ( float, optional) –. Observed variance used to approximate the true and forward variance as shown in David M. Blei, John D. Lafferty: 'Dynamic Topic Models'. chain_variance ( float ...

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  • Developer Guide :: NVIDIA Deep Learning TensorRT

    2021-12-14u2002·u2002This NVIDIA TensorRT Developer Guide demonstrates how to use the C++ and Python APIs for implementing the most common deep learning layers. It shows how you can take an existing model built with a deep learning framework and build a TensorRT engine using the provided parsers. The Developer Guide also provides step-by-step instructions for common …

    Get Price
  • Chapter 6. Entity-Relationship Modelling - cs.uct.ac.za

    2017-2-25u2002·u2002The above model looks okay at first glance, but it has a pitfall. The model says a faculty has many departments and many staff. Although the model seems to capture all the necessary information, it is difficult to know which department staff are affiliated to. To find out the departments the staff belong to, we will start from the staff entity.

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  • detectron2.modeling — detectron2 0.6 documentation

    2021-12-27u2002·u2002detectron2.modeling.poolers module¶ class detectron2.modeling.poolers.ROIPooler (output_size, scales, sampling_ratio, pooler_type, canonical_box_size = 224, canonical_level = 4) [source] ¶. Bases: torch.nn.Module Region of interest feature map pooler that supports pooling from one or more feature maps.

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  • transformers/modeling_gpt2.py at master · huggingface ...

    loss (`torch.FloatTensor` of shape `(1,)`, *optional*, returned when `labels` is provided): Language modeling loss. mc_loss (`torch.FloatTensor` of shape `(1,)`, *optional*, returned when `mc_labels` is provided): Multiple choice classification loss. logits (`torch.FloatTensor` of shape `(batch_size, num_choices, sequence_length, config.vocab ...

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  • VGG16 and VGG19 - Keras

    2021-12-18u2002·u2002input_tensor: optional Keras tensor (i.e. output of layers.Input()) to use as image input for the model. input_shape: optional shape tuple, only to be specified if include_top is False (otherwise the input shape has to be (224, 224, 3) (with channels_last data format) or (3, 224, 224) (with channels_first data format). It should have exactly 3 ...

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  • InceptionV3 - Keras

    2021-12-18u2002·u2002input_tensor is useful for sharing inputs between multiple different networks. Default to None. input_shape: Optional shape tuple, only to be specified if include_top is False (otherwise the input shape has to be (299, 299, 3) (with channels_last data format) or (3, 299, 299) (with channels_first data format). It should have exactly 3 inputs ...

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  • Modeling Data and Curve Fitting — Non-Linear Least-Squares ...

    2021-10-14u2002·u2002Modeling Data and Curve Fitting¶. A common use of least-squares minimization is curve fitting, where one has a parametrized model function meant to explain some phenomena and wants to adjust the numerical values for the model so that it most closely matches some data.With scipy, such problems are typically solved with scipy.optimize.curve_fit, which is a wrapper …

    Get Price
  • Define a model — TensorLayer 2.2.4 documentation

    2021-1-29u2002·u2002Define a model¶. TensorLayer provides two ways to define a model. Static model allows you to build model in a fluent way while dynamic model allows you …

    Get Price
  • models.ldaseqmodel – Dynamic Topic Modeling in Python —

    2021-8-30u2002·u2002lda_model ( LdaModel) – Model whose sufficient statistics will be used to initialize the current object if initialize == 'gensim'. obs_variance ( float, optional) –. Observed variance used to approximate the true and forward variance as shown in David M. Blei, John D. Lafferty: 'Dynamic Topic Models'. chain_variance ( float ...

    Get Price
  • Developer Guide :: NVIDIA Deep Learning TensorRT

    2021-12-14u2002·u2002This NVIDIA TensorRT Developer Guide demonstrates how to use the C++ and Python APIs for implementing the most common deep learning layers. It shows how you can take an existing model built with a deep learning framework and build a TensorRT engine using the provided parsers. The Developer Guide also provides step-by-step instructions for common user tasks …

    Get Price
  • Chapter 6. Entity-Relationship Modelling - cs.uct.ac.za

    2017-2-25u2002·u2002The above model looks okay at first glance, but it has a pitfall. The model says a faculty has many departments and many staff. Although the model seems to capture all the necessary information, it is difficult to know which department staff are affiliated to. To find out the departments the staff belong to, we will start from the staff entity.

    Get Price
  • detectron2.modeling — detectron2 0.6 documentation

    2021-12-27u2002·u2002detectron2.modeling.poolers module¶ class detectron2.modeling.poolers.ROIPooler (output_size, scales, sampling_ratio, pooler_type, canonical_box_size = 224, canonical_level = 4) [source] ¶. Bases: torch.nn.Module Region of interest feature map pooler that supports pooling from one or more feature maps.

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  • transformers/modeling_gpt2.py at master · huggingface ...

    loss (`torch.FloatTensor` of shape `(1,)`, *optional*, returned when `labels` is provided): Language modeling loss. mc_loss (`torch.FloatTensor` of shape `(1,)`, *optional*, returned when `mc_labels` is provided): Multiple choice classification loss. logits (`torch.FloatTensor` of shape `(batch_size, num_choices, sequence_length, config.vocab ...

    Get Price
  • VGG16 and VGG19 - Keras

    2021-12-18u2002·u2002input_tensor: optional Keras tensor (i.e. output of layers.Input()) to use as image input for the model. input_shape: optional shape tuple, only to be specified if include_top is False (otherwise the input shape has to be (224, 224, 3) (with channels_last data format) or (3, 224, 224) (with channels_first data format). It should have exactly 3 ...

    Get Price
  • InceptionV3 - Keras

    2021-12-18u2002·u2002input_tensor is useful for sharing inputs between multiple different networks. Default to None. input_shape: Optional shape tuple, only to be specified if include_top is False (otherwise the input shape has to be (299, 299, 3) (with channels_last data format) or (3, 299, 299) (with channels_first data format). It should have exactly 3 inputs ...

    Get Price
  • Modeling Data and Curve Fitting — Non-Linear Least

    2021-10-14u2002·u2002Modeling Data and Curve Fitting¶. A common use of least-squares minimization is curve fitting, where one has a parametrized model function meant to explain some phenomena and wants to adjust the numerical values for the model so that it most closely matches some data.With scipy, such problems are typically solved with scipy.optimize.curve_fit, which is a …

    Get Price
  • Define a model — TensorLayer 2.2.4 documentation

    2021-1-29u2002·u2002Define a model¶. TensorLayer provides two ways to define a model. Static model allows you to build model in a fluent way while dynamic model allows you to fully control the forward process.

    Get Price
  • models.ldaseqmodel – Dynamic Topic Modeling in Python

    2021-8-30u2002·u2002lda_model ( LdaModel) – Model whose sufficient statistics will be used to initialize the current object if initialize == 'gensim'. obs_variance ( float, optional) –. Observed variance used to approximate the true and forward variance as shown in David M. Blei, John D. Lafferty: 'Dynamic Topic Models'. chain_variance ( float ...

    Get Price
  • Developer Guide :: NVIDIA Deep Learning TensorRT

    2021-12-14u2002·u2002This NVIDIA TensorRT Developer Guide demonstrates how to use the C++ and Python APIs for implementing the most common deep learning layers. It shows how you can take an existing model built with a deep learning framework and build a TensorRT engine using the provided parsers. The Developer Guide also provides step-by-step instructions for common …

    Get Price
  • Chapter 6. Entity-Relationship Modelling - cs.uct.ac.za

    2017-2-25u2002·u2002The above model looks okay at first glance, but it has a pitfall. The model says a faculty has many departments and many staff. Although the model seems to capture all the necessary information, it is difficult to know which department staff are affiliated to. To find out the departments the staff belong to, we will start from the staff entity.

    Get Price
  • detectron2.modeling — detectron2 0.6 documentation

    2021-12-27u2002·u2002detectron2.modeling.poolers module¶ class detectron2.modeling.poolers.ROIPooler (output_size, scales, sampling_ratio, pooler_type, canonical_box_size = 224, canonical_level = 4) [source] ¶. Bases: torch.nn.Module Region of interest feature map pooler that supports pooling from one or more feature maps.

    Get Price
  • transformers/modeling_gpt2.py at master · huggingface ...

    loss (`torch.FloatTensor` of shape `(1,)`, *optional*, returned when `labels` is provided): Language modeling loss. mc_loss (`torch.FloatTensor` of shape `(1,)`, *optional*, returned when `mc_labels` is provided): Multiple choice classification loss. logits (`torch.FloatTensor` of shape `(batch_size, num_choices, sequence_length, config.vocab ...

    Get Price
  • VGG16 and VGG19 - Keras

    2021-12-18u2002·u2002input_tensor: optional Keras tensor (i.e. output of layers.Input()) to use as image input for the model. input_shape: optional shape tuple, only to be specified if include_top is False (otherwise the input shape has to be (224, 224, 3) (with channels_last data format) or (3, 224, 224) (with channels_first data format). It should have exactly 3 ...

    Get Price
  • InceptionV3 - Keras

    2021-12-18u2002·u2002input_tensor is useful for sharing inputs between multiple different networks. Default to None. input_shape: Optional shape tuple, only to be specified if include_top is False (otherwise the input shape has to be (299, 299, 3) (with channels_last data format) or (3, 299, 299) (with channels_first data format). It should have exactly 3 inputs ...

    Get Price
  • Modeling Data and Curve Fitting — Non-Linear Least

    2021-10-14u2002·u2002Modeling Data and Curve Fitting¶. A common use of least-squares minimization is curve fitting, where one has a parametrized model function meant to explain some phenomena and wants to adjust the numerical values for the model so that it most closely matches some data.With scipy, such problems are typically solved with scipy.optimize.curve_fit, which is a …

    Get Price
  • Define a model — TensorLayer 2.2.4 documentation

    2021-1-29u2002·u2002Define a model¶. TensorLayer provides two ways to define a model. Static model allows you to build model in a fluent way while dynamic model allows you to fully control the forward process.

    Get Price
  • models.ldaseqmodel – Dynamic Topic Modeling in Python

    2021-8-30u2002·u2002lda_model ( LdaModel) – Model whose sufficient statistics will be used to initialize the current object if initialize == 'gensim'. obs_variance ( float, optional) –. Observed variance used to approximate the true and forward variance as shown in David M. Blei, John D. Lafferty: 'Dynamic Topic Models'. chain_variance ( float ...

    Get Price
  • Developer Guide :: NVIDIA Deep Learning TensorRT

    2021-12-14u2002·u2002This NVIDIA TensorRT Developer Guide demonstrates how to use the C++ and Python APIs for implementing the most common deep learning layers. It shows how you can take an existing model built with a deep learning framework and build a TensorRT engine using the provided parsers. The Developer Guide also provides step-by-step instructions for common …

    Get Price
  • Chapter 6. Entity-Relationship Modelling - cs.uct.ac.za

    2017-2-25u2002·u2002The above model looks okay at first glance, but it has a pitfall. The model says a faculty has many departments and many staff. Although the model seems to capture all the necessary information, it is difficult to know which department staff are affiliated to. To find out the departments the staff belong to, we will start from the staff entity.

    Get Price
  • detectron2.modeling — detectron2 0.6 documentation

    2021-12-27u2002·u2002detectron2.modeling.poolers module¶ class detectron2.modeling.poolers.ROIPooler (output_size, scales, sampling_ratio, pooler_type, canonical_box_size = 224, canonical_level = 4) [source] ¶. Bases: torch.nn.Module Region of interest feature map pooler that supports pooling from one or more feature maps.

    Get Price
  • transformers/modeling_gpt2.py at master · huggingface ...

    loss (`torch.FloatTensor` of shape `(1,)`, *optional*, returned when `labels` is provided): Language modeling loss. mc_loss (`torch.FloatTensor` of shape `(1,)`, *optional*, returned when `mc_labels` is provided): Multiple choice classification loss. logits (`torch.FloatTensor` of shape `(batch_size, num_choices, sequence_length, config.vocab ...

    Get Price
  • VGG16 and VGG19 - Keras

    2021-12-18u2002·u2002input_tensor: optional Keras tensor (i.e. output of layers.Input()) to use as image input for the model. input_shape: optional shape tuple, only to be specified if include_top is False (otherwise the input shape has to be (224, 224, 3) (with channels_last data format) or (3, 224, 224) (with channels_first data format). It should have exactly 3 ...

    Get Price
  • InceptionV3 - Keras

    2021-12-18u2002·u2002input_tensor is useful for sharing inputs between multiple different networks. Default to None. input_shape: Optional shape tuple, only to be specified if include_top is False (otherwise the input shape has to be (299, 299, 3) (with channels_last data format) or (3, 299, 299) (with channels_first data format). It should have exactly 3 inputs ...

    Get Price
  • Modeling Data and Curve Fitting — Non-Linear Least

    2021-10-14u2002·u2002Modeling Data and Curve Fitting¶. A common use of least-squares minimization is curve fitting, where one has a parametrized model function meant to explain some phenomena and wants to adjust the numerical values for the model so that it most closely matches some data.With scipy, such problems are typically solved with scipy.optimize.curve_fit, which is a …

    Get Price
  • Define a model — TensorLayer 2.2.4 documentation

    2021-1-29u2002·u2002Define a model¶. TensorLayer provides two ways to define a model. Static model allows you to build model in a fluent way while dynamic model allows you to fully control the forward process.

    Get Price
  • models.ldaseqmodel – Dynamic Topic Modeling in Python

    2021-8-30u2002·u2002lda_model ( LdaModel) – Model whose sufficient statistics will be used to initialize the current object if initialize == 'gensim'. obs_variance ( float, optional) –. Observed variance used to approximate the true and forward variance as shown in David M. Blei, John D. Lafferty: 'Dynamic Topic Models'. chain_variance ( float ...

    Get Price
  • Developer Guide :: NVIDIA Deep Learning TensorRT

    2021-12-14u2002·u2002This NVIDIA TensorRT Developer Guide demonstrates how to use the C++ and Python APIs for implementing the most common deep learning layers. It shows how you can take an existing model built with a deep learning framework and build a TensorRT engine using the provided parsers. The Developer Guide also provides step-by-step instructions for common …

    Get Price
  • Chapter 6. Entity-Relationship Modelling - cs.uct.ac.za

    2017-2-25u2002·u2002The above model looks okay at first glance, but it has a pitfall. The model says a faculty has many departments and many staff. Although the model seems to capture all the necessary information, it is difficult to know which department staff are affiliated to. To find out the departments the staff belong to, we will start from the staff entity.

    Get Price
  • detectron2.modeling — detectron2 0.6 documentation

    2021-12-27u2002·u2002detectron2.modeling.poolers module¶ class detectron2.modeling.poolers.ROIPooler (output_size, scales, sampling_ratio, pooler_type, canonical_box_size = 224, canonical_level = 4) [source] ¶. Bases: torch.nn.Module Region of interest feature map pooler that supports pooling from one or more feature maps.

    Get Price
  • transformers/modeling_gpt2.py at master · huggingface ...

    loss (`torch.FloatTensor` of shape `(1,)`, *optional*, returned when `labels` is provided): Language modeling loss. mc_loss (`torch.FloatTensor` of shape `(1,)`, *optional*, returned when `mc_labels` is provided): Multiple choice classification loss. logits (`torch.FloatTensor` of shape `(batch_size, num_choices, sequence_length, config.vocab ...

    Get Price