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NEURAL NETWORKS 3 Neural Networks Name: Group - 5 Institution: Cumberland University Neural Networks Machine learning refers to the application of artificial intelligence that leads to the provision of systems with the ability of improve and learn automatically without being programmed. It is a process that clearly focuses on the general development of the computer programs that have an access to data and can be clearly used for the learning process themselves (Priddy & Keller, (2015). The procedure involved in learning entails the use of observations such as direct experience or through the use of instruction. It is a practice that is deeply aligned to the use of computers to ensure that functions and operations take place in the required manner. Neural networks is a topic in machine learning that is highly essential. It refers to a set of algorithms that are loosely modelled after the human brain. The algorithms are created to recognize respective patterns. Through them, the interpretation of sensory data through a machine perception. Clustering raw input and labelling is done (Burkov, 2019). The use of neural networks aids the classification and clustering which are key important topics that need to be appropriately addressed in this case. Thinking of them as the classification and clustering layer that is found on the top of the data applied in management and storage are key matters of concern. The classifications of the tasks are dependent on the labeled datasets. This implies that humans need to ensure that they transfer their knowledge to the data for the neural network to learn the existing correlation that exists between the data and the labels (Burkov, 2019). The activity is defined as supervised learning which is a key practice that entails face detection, the recognition of gestures through the videos, the identification of the images and the classification of texts. References Burkov, A. (2019). The hundred-page machine learning book. Priddy, K. L., & Keller, P. E. (2015). Artificial neural networks: An introduction. Bellingham, Wash: SPIE Press. ...

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recognize respective patterns. Through them, the interpretation
of sensory data through a machine perception. Clustering raw
input and labelling is done (Burkov, 2019). The use of neural
networks aids the classification and clustering which are key
important topics that need to be appropriately addressed in this
case. Thinking of them as the classification and clustering layer
that is found on the top of the data applied in management and
storage are key matters of concern.
The classifications of the tasks are dependent on the
labeled datasets. This implies that humans need to ensure that
they transfer their knowledge to the data for the neural network
to learn the existing correlation that exists between the data and
the labels (Burkov, 2019). The activity is defined as supervised
learning which is a key practice that entails face detection, the
recognition of gestures through the videos, the identification of
the images and the classification of texts.
References
Burkov, A. (2019). The hundred-page machine learning book.
Priddy, K. L., & Keller, P. E. (2015). Artificial neural
networks: An introduction. Bellingham, Wash: SPIE Press.

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1. If we consider a gallon of gas as having 100 units of energy, and 25 of those units are used to move the car, what law of thermodynamics accounts for the other 75 units of energy? (Points : 2) the first law the second law 2. Which of these is not a component of a molecule of adenosine triphosphate (ATP)? (Points : 3) adenosine phosphate deoxyribose sugar ribose sugar 3. Glycolysis is a sequence of ______ chemical reactions. (Points : 3) nine six five ten 4. Exergonic reactions produce products with a ___ energy level than that of the initial reactants. (Points : 3) lower higher the same 5. When chemical X is reduced, which of these expressions would be an accurate representation of its reduced state? (Points : 3) XO XH X HX 6. Most enzymes are which kind of organic compound? (Points : 3) carbohydrates lipids proteins none of the above 7. The area on an enzyme where the substrate attaches is called the: (Points : 3) active site allosteric site anabolic site inactive site 8. Which of the following creatures would not be an autotroph? (Points : 3) cactus cyanobacteria fish palm tree 9. The process by which most of the world's autotrophs make their food is known as: (Points : 3) glycolysis photosynthesis chemosynthesis herbivory 10. Plants are the only organisms that use ATP for the transfer and storage of energy. (Points : 2) True False 11. The colors of light in the visible range (from longest wavelength to shortest) are: (Points : 3) ROYGBIV VIBGYOR GRBIYV ROYROGERS 12. Chlorophyll is a green pigment because it absorbs only the green part of the visible light spectrum. (Points : 2) True False 13. The photosynthetic pigment that is essential for the process to occur is: (Points : 3) chlorophyll a chlorophyll b beta carotene xanthocyanin 14. A photosystem is: (Points : 3) a collection of hydrogen-pumping proteins a series of electron-accepting proteins arranged in the thylakoid membrane a collection of photosynthetic pigments arranged in a thylakoid membrane found only in prokaryotic organisms 15. Which of these molecules is NOT a product of the Electron Transport System? (Points : 3) ATP Water Pyruvate NAD+ 16. The dark reactions require all of these chemicals to proceed except: (Points : 3) ATP NADPH carbon dioxide oxygen 17. The structural unit of photosynthesis, where the photosystems are located, are called: (Points : 3) chlorophylls eukaryotes stroma thylakoids 18. Which of the following does NOT occur during the light independent process? (Points : 3) CO2 is used to form carbohydrates NADPH converts to NADP ADP converts to ATP ATP converts to ADP 19. The production of ATP that occurs in the presence of oxygen is called: (Points : 3) aerobic respiration anaerobic respiration chemiosmosis photosynthesis 20. The first stable chemical formed by the Calvin Cycle is: (Points :.

1. If we consider a gallon of gas as having 100 units of energy, and.docx

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1. In 200-250 words, analyze the basic issues of human biology as they relate to chronic conditions and describe the interaction between disability, disease, and behavior. Examine and discuss the impact of biological health or illness on social, psychological, and physical problems from the micro, mezzo, and macro perspectives. Choose a chronic condition from those provided in your text and consider how you might feel, think, and behave differently if the condition were affecting you versus if the condition were affecting a stranger. How might you think differently about this chronic condition if it were affecting someone close to you, your neighbor, or someone in your community? Please include at least two supporting scholarly resources. 2.Our stage of life, intellectual/cognitive abilities, and sociocultural position in life, affect our perspectives and resultant behaviors about a number of conditions including cancer. Consider the information provided in the “Introduction to the Miller Family” document. Both Ella and Elías have been diagnosed with cancer. Ella has been fighting cancer with complementary and alternative methods with some success for many years. Elías, her grandson, is 10 years old and has recently been diagnosed with leukemia but has not yet begun treatment. Putting yourself in either Ella or Elías’s place, what might your perspective on your cancer be? Integrate how the stage of life, cognitive abilities, and sociocultural position of your chosen person impacts her/his perspective on his/her individual disease. .

1. In 200-250 words, analyze the basic issues of human biology as th.docx

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