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  2. Convolutional neural network - Wikipedia

    en.wikipedia.org/wiki/Convolutional_neural_network

    In a convolutional layer, each neuron receives input from only a restricted area of the previous layer called the neuron's receptive field. Typically the area is a square (e.g. 5 by 5 neurons). Whereas, in a fully connected layer, the receptive field is the entire previous layer. Thus, in each convolutional layer, each neuron takes input from a ...

  3. Inception (deep learning architecture) - Wikipedia

    en.wikipedia.org/wiki/Inception_(deep_learning...

    The Inception v1 architecture is a deep CNN composed of 22 layers. Most of these layers were "Inception modules". The original paper stated that Inception modules are a "logical culmination" of Network in Network [5] and (Arora et al, 2014). [6] Since Inception v1 is deep, it suffered from the vanishing gradient problem.

  4. Layer (deep learning) - Wikipedia

    en.wikipedia.org/wiki/Layer_(Deep_Learning)

    The Recurrent layer is used for text processing with a memory function. Similar to the Convolutional layer, the output of recurrent layers are usually fed into a fully-connected layer for further processing. See also: RNN model. [6] [7] [8] The Normalization layer adjusts the output data from previous layers to achieve a regular distribution ...

  5. Pooling layer - Wikipedia

    en.wikipedia.org/wiki/Pooling_layer

    In neural networks, a pooling layer is a kind of network layer that downsamples and aggregates information that is dispersed among many vectors into fewer vectors. [1] It has several uses. It removes redundant information, reducing the amount of computation and memory required, makes the model more robust to small variations in the input, and ...

  6. Tensor (machine learning) - Wikipedia

    en.wikipedia.org/wiki/Tensor_(machine_learning)

    In machine learning, the term tensor informally refers to two different concepts (i) a way of organizing data and (ii) a multilinear (tensor) transformation. Data may be organized in a multidimensional array (M-way array), informally referred to as a "data tensor"; however, in the strict mathematical sense, a tensor is a multilinear mapping over a set of domain vector spaces to a range vector ...

  7. What Is The Difference Between A Celery Stalk And A ... - AOL

    www.aol.com/difference-between-celery-stalk...

    What Is A Celery Rib? A celery rib is one of the individual stems that make up the larger bunch of celery, or "stalk." In botanical terms, a rib is a single segment of the plant, and in culinary ...

  8. Stanley recalls 2.6 million mugs after reports of burns from ...

    www.aol.com/stanley-recalls-2-6-million...

    Stanley is recalling 2.6 million mugs sold in the U.S. after the company received dozens of consumer complaints, including some users who reported getting burned and requiring medical attention ...

  9. Capsule neural network - Wikipedia

    en.wikipedia.org/wiki/Capsule_neural_network

    Each primary capsule sees all of the lower-layer outputs whose fields overlap with the center of the field in the primary layer. Each primary capsule output (for a particular field) is an 8-dimensional vector. [1] [3] A second, digit capsule layer has one 16-dimensional capsule for each digit (0-9).