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provided an extensive theoretical and empirical discussion of emotion as influenced by cognition, consciousness, and the autonomic nervous system in two books (Mind and Emotion, 1975, and Mind and Body: Psychology of Emotion and Stress, 1984)

There are some theories on emotions arguing that cognitive activity in the form of judgments, evaluations, or thoughts are necessary in order for an emotion to occur. A prominent philosophical exponent is Robert C. Solomon (for example, The Passions, Emotions and the Meaning of Life , 1993). Solomon claims that emotions are judgments. He has put forward a more nuanced view which response to what he has called the ‘standard objection’ to cognitivism, the idea that a judgment that something is fearsome can occur with or without emotion, so judgment cannot be identified with emotion. The theory proposed by x REVOLVE Lisieux Corset Dress in Black size M also in LSXS Danielle Guizio ornvu3
where appraisal leads to action tendencies is another example.

It has also been suggested that emotions (affect heuristics, feelings and gut-feeling reactions) are often used as shortcuts to process information and influence behavior. [54] The FOOTWEAR Sandals Lautre Chose GzHyBIvHG
(AIM) is a theoretical model developed by Joseph Forgas in the early 1990s that attempts to explain how emotion and mood interact with one's ability to process information.

Theories dealing with perception either use one or multiples perceptions in order to find an emotion (Goldie, 2007). A recent hybrid of the somatic and cognitive theories of emotion is the perceptual theory. This theory is neo-Jamesian in arguing that bodily responses are central to emotions, yet it emphasizes the meaningfulness of emotions or the idea that emotions are about something, as is recognized by cognitive theories. The novel claim of this theory is that conceptually-based cognition is unnecessary for such meaning. Rather the bodily changes themselves perceive the meaningful content of the emotion because of being causally triggered by certain situations. In this respect, emotions are held to be analogous to faculties such as vision or touch, which provide information about the relation between the subject and the world in various ways. A sophisticated defense of this view is found in philosopher Jesse Prinz's book Gut Reactions , and psychologist James Laird's book Feelings .

Affective events theory is a communication-based theory developed by Howard M. Weiss and Russell Cropanzano (1996), that looks at the causes, structures, and consequences of emotional experience (especially in work contexts). This theory suggests that emotions are influenced and caused by events which in turn influence attitudes and behaviors. This theoretical frame also emphasizes time in that human beings experience what they call emotion episodes— a "series of emotional states extended over time and organized around an underlying theme." This theory has been utilized by numerous researchers to better understand emotion from a communicative lens, and was reviewed further by Howard M. Weiss and Daniel J. Beal in their article, "Reflections on Affective Events Theory", published in Research on Emotion in Organizations in 2005.

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Which Is The Best Laptop For Machine Learning and Artificial Intelligence?
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Kishan Maladkar
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With the rise in analysis platforms across every sector, leading big tech companies and startups are integrating Machine Learning and Deep Learning in their existing system. This advancement has led to a major revolution in the hardware required for these setups. But what about students and beginners who are trying to enter this domain, who are willing to take some time off and are working towards entering the Artificial Intelligence sector, what kind of machine should they invest on depending on the budget they have? We present a variety of options that are available in the market.

To have a personal machine for the projects you have in mind, one needs to choose between mobility of their machine, that is, if they want to carry it around – a laptop. Or a machine for training the algorithms alone – a customized desktop at home or work.

What are the minimum requirements of the machine?

Note: Only Nvidia GPUs have the CUDA extension which allows GPU support for Tensorflow and PyTorch.

You can also find budget laptops with CUDA enabled Nvidia GPUs for deep learning. The gaming laptops with these specs are essentially not for gaming but can also be used for deep learning. With a downgrade in RAM and CPU, one can opt this for training.

One can build their own PC for a lower price compared to these pricy laptops. This article will give you a brief information on how to customize a PC for deep learning . With the advancement in tech, the GPU prices are skyrocketing with addition of new Nvidia Tesla GPUs. It is better to invest on an high end GPU by compromising the CPU for deep learning purposes.

An external GPU is an addition to the existing laptop where one can buy the external graphic dock extension like the Asus ROG XG Station Graphics Dock . This is can be customized based on your specifications.

By having one of these laptops, one can build, train and test their own deep learning models in a short span of time. When it comes to deep learning, tuning the hyper parameters being a tedious and time consuming task, it is advisable to have a power powerful machine to save time.

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