A Beginners Guide To Neural Networks AI CD

Slide 1: The slide introduces A Beginner's Guide to Neural Networks.
Slide 2: This is an Agenda slide. State your agendas here.
Slide 3: The slide displays Table of Contents for presentation.
Slide 4: The slide continues Table of Contents further.
Slide 5: The slide again shows Table of Contents.
Slide 6: This slide showcases basic overview to neural networks technology which can be referred by IT enthusiasts to have a brief idea about this aspect.
Slide 7: This slide highlights timeline with brief history of neural networks technology which can be referred by IT enthusiasts.
Slide 8: This slide showcases layers of artificial neural network architecture which IT experts can refer to gain insights on back-end process.
Slide 9: This slide presents working process of artificial neural network which programmers can refer to gain insights on back-end process.
Slide 10: This slide shows major benefits of utilizing neural networks which can help assess businesses realize its importance and adoption.
Slide 11: This slide presents deep learning vs neural network which can help assess businesses sort between its adoption and overall installation.
Slide 12: This slide shows machine learning vs neural network which can help assess businesses sort between its adoption and overall installation.
Slide 13: This slide highlights deep learning vs artificial intelligence vs machine learning.
Slide 14: The slide depicts Title of Contents which is to be discussed further.
Slide 15: This slide showcases global market snapshot of neural networks which can help businesses and investors make certain decisions.
Slide 16: This slide highlights growth drivers and restraints in neural networks market, helping businesses take informed decisions regarding its adoption.
Slide 17: The slide describes Title of Contents further.
Slide 18: This slide showcases a brief overview to each type of neural networks useful for IT professionals to consider this as a glossary for various terms.
Slide 19: This slide displays most commonly utilized industrial best neural networks which can be referred by IT professionals seeking technical advice.
Slide 20: The slide presents Title of Contents further.
Slide 21: This slide shows how convolutional neural networks work which can be referred by IT professionals seeking back-end technology.
Slide 22: This slide renders types of convolutional neural networks which can be referred by IT professionals seeking technical advice.
Slide 23: This slide showcases most common applications of convolutional neural networks which can be referred by IT professionals seeking technical advice.
Slide 24: The slide represents Title of Contents further.
Slide 25: This slide showcases process of how recurrent neural networks (RNN) works which can be referred by IT professionals seeking back end knowledge.
Slide 26: This slide showcases major types of recurrent neural networks which can be referred by IT teams to perform different use cases.
Slide 27: This slide showcases most commonly utilized recurrent neural networks applications which can be referred by businesses for their technical needs.
Slide 28: The slide again depicts Title of Contents.
Slide 29: This slide showcases how does generative adversarial networks which can be referred by IT professionals seeking back-end technology.
Slide 30: This slide showcases various types of generative neural networks (GANs) which can be referred by IT professionals seeking technical expertise.
Slide 31: This slide showcases key business applications of generative adversarial network applications.
Slide 32: The slide highlights Title of Contents further.
Slide 33: This slide renders general overview of reinforcement based learning which can help AI developers build new ML models.
Slide 34: This slide showcases important elements of reinforcement based learning which can help AI developers build new ML models.
Slide 35: This slide highlights 4 stages of reinforcement based learning which can help AI developers understand and build ML models.
Slide 36: This slide shows key applications of reinforcement based learning which can help AI developers understand and build different software.
Slide 37: The slide renders Title of Contents further.
Slide 38: This slide provides overview for reinforcement learning from human feedback which can be referred for multiple business applications.
Slide 39: This slide showcases three step process on how reinforcement learning from human feedback works.
Slide 40: This slide showcases real world major use cases of reinforcement learning from human feedbacks (RLHF).
Slide 41: The slide displays Title of Contents further.
Slide 42: This slide gives overview for major use cases of neural networks which can be referred for multiple business applications to augment key processes.
Slide 43: This slide shows major use cases of computer vision which can be referred for multiple business applications to augment key processes.
Slide 44: This slide highlights major use cases of speech recognition which can be referred for multiple business applications to augment key processes.
Slide 45: This slide showcases how speech recognition model works which can be referred for multiple business applications to augment key processes.
Slide 46: This slide renders major use cases of natural language processing which can be referred for multiple business applications to augment key processes.
Slide 47: This slide shows recommendation engine applications using neural networks which can be referred for multiple technical operations and applications.
Slide 48: This slide depicts how language translation works using recurring neural networks.
Slide 49: This slide shows how handwritten character recognition works using recurring neural networks.
Slide 50: The slide renders Title of Contents further.
Slide 51: This slide showcases how marketing teams can perform their recurring tasks using neural networks by referring these multiple use cases.
Slide 52: This slide presents how marketing teams can perform their recurring tasks using neural networks by referring these multiple use cases.
Slide 53: This slide highlights how real companies are performing their recurring marketing tasks using neural networks.
Slide 54: The slide displays Title of Contents which is to be discussed further.
Slide 55: This slide showcases how marketing teams can perform their recurring tasks using neural networks by referring these multiple use cases.
Slide 56: This slide renders how stock exchange teams can perform price predictions using neural networks by referring these multiple steps.
Slide 57: This slide shows how stock exchange teams can perform price predictions using neural networks by referring these multiple steps.
Slide 58: This slide presents how insurance industry can use neural networks for augmenting their routine tasks.
Slide 59: The slide describes Title of Contents which is to be discussed further.
Slide 60: This slide showcases how neural networks for retail store auditing through which store managers can augment their routine tasks.
Slide 61: This slide shows streamlining e-commerce operations through neural networks, guiding developers in integrating efficient tools into process.
Slide 62: The slide again displays Title of Contents.
Slide 63: This slide shows how future oriented manufacturing works with integration of artificial neural networks (ANN).
Slide 64: This slide highlights how 3D computer aided design systems for manufacturing works when integrated with artificial neural networks (ANN).
Slide 65: The slide shows another Title of Contents.
Slide 66: This slide demonstrates practical use cases where doctors can augment their processes when artificial neural networks (ANN) are used.
Slide 67: This slide shows how healthcare diagnostics can be performed by doctors when integrated with artificial neural networks (ANN).
Slide 68: This slide describes how biomedical tasks can be performed by doctors when integrated with artificial neural networks (ANN).
Slide 69: The slide represents Title of Contents which is to be discussed further.
Slide 70: This slide shows how cyber security tasks can be performed by technicians when integrated with artificial neural networks (ANN).
Slide 71: This slide displays how shipping companies/teams can perform their tasks through artificial neural networks (ANN).
Slide 72: The slide describes another Title of Contents.
Slide 73: This slide showcases challenges of using artificial neural networks (ANN) in a routine work operation of programmers.
Slide 74: This slide depicts disadvantages of using artificial neural networks (ANN) in a routine work operation of programmers.
Slide 75: The slide again renders Title of Contents.
Slide 76: This slide showcases how experts and researchers are anticipating future of neural network to guide programmers into building more scalable tools.
Slide 77: This slide gives an insight about how experts and researchers are anticipating future of neural network to guide programmers.
Slide 78: This slide showcases how neural network’s future will be influenced through introduction of hyperdimensional computing.
Slide 79: This slide shows how neural network’s future will be influence through introduction of hyperdimensional computing.
Slide 80: This slide shows all the icons included in the presentation.
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Slide 90: This is a Thank You slide with address, contact numbers and email address.