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An Introduction to Neural Networks

March 6, 2024
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*** Below you'll find a brief outline of James McNamara's talk on neural networks. If you'd like to take a deeper dive, be sure to watch James full presentation.

James McNamara recently gave this insightful talk on navigating the intricate world of neural networks, deep learning, and artificial intelligence (which you can watch above). This discussion provides a comprehensive overview of neural networks and deep learning, exploring their evolution, fundamental concepts, and applications.

Throughout this talk, James, delves into various aspects of neural network architectures, discussing their relevance in image recognition, natural language processing (NLP), and coding assistance, and covers essential topics such as Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), and the breakthroughs achieved with word embeddings, particularly through the example of Word2Vec.

Outline: An Introduction to Neural Networks

I. Introduction to Neural Networks and Deep Learning:

II. Basics of Neural Networks:

III. Image Recognition and Convolutional Neural Networks (CNNs):

IV. Natural Language Processing (NLP) and Recurrent Neural Networks (RNNs):

V. Encoding Text as Numbers and Word Embeddings:

VI. Transformers and Self-Attention Mechanism:

VII. Application of Generative AI in Coding:

VIII. Future Outlook and Optimism:

IX. Audience Questions and Clarifications:

Yeti is an IoT application development company. If you'd like to learn more about what we do, be sure to take a look at our work page featuring insightful case studies showcasing our collaborations with renowned clients such as Google, Netflix, Westfield, and many others. For more insightful content, don't miss the Yeti blog and our extensive library of IoT software development content.

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