How Long to Read Neural Networks and Deep Learning

How Long Does it Take to Read Neural Networks and Deep Learning?

It takes the average reader 9 hours and 6 minutes to read Neural Networks and Deep Learning by Charu C. Aggarwal

Assuming a reading speed of 250 words per minute. Learn more

Description

This book covers both classical and modern models in deep learning. The primary focus is on the theory and algorithms of deep learning. The theory and algorithms of neural networks are particularly important for understanding important concepts, so that one can understand the important design concepts of neural architectures in different applications. Why do neural networks work? When do they work better than off-the-shelf machine-learning models? When is depth useful? Why is training neural networks so hard? What are the pitfalls? The book is also rich in discussing different applications in order to give the practitioner a flavor of how neural architectures are designed for different types of problems. Deep learning methods for various data domains, such as text, images, and graphs are presented in detail. The chapters of this book span three categories: The basics of neural networks: The backpropagation algorithm is discussed in Chapter 2. Many traditional machine learning models can be understood as special cases of neural networks. Chapter 3 explores the connections between traditional machine learning and neural networks. Support vector machines, linear/logistic regression, singular value decomposition, matrix factorization, and recommender systems are shown to be special cases of neural networks. Fundamentals of neural networks: A detailed discussion of training and regularization is provided in Chapters 4 and 5. Chapters 6 and 7 present radial-basis function (RBF) networks and restricted Boltzmann machines. Advanced topics in neural networks: Chapters 8, 9, and 10 discuss recurrent neural networks, convolutional neural networks, and graph neural networks. Several advanced topics like deep reinforcement learning, attention mechanisms, transformer networks, Kohonen self-organizing maps, and generative adversarial networks are introduced in Chapters 11 and 12. The textbook is written for graduate students and upper under graduate level students. Researchers and practitioners working within this related field will want to purchase this as well. Where possible, an application-centric view is highlighted in order to provide an understanding of the practical uses of each class of techniques. The second edition is substantially reorganized and expanded with separate chapters on backpropagation and graph neural networks. Many chapters have been significantly revised over the first edition. Greater focus is placed on modern deep learning ideas such as attention mechanisms, transformers, and pre-trained language models.

How long is Neural Networks and Deep Learning?

Neural Networks and Deep Learning by Charu C. Aggarwal is 542 pages long, and a total of 136,584 words.

This makes it 183% the length of the average book. It also has 167% more words than the average book.

How Long Does it Take to Read Neural Networks and Deep Learning Aloud?

The average oral reading speed is 183 words per minute. This means it takes 12 hours and 26 minutes to read Neural Networks and Deep Learning aloud.

What Reading Level is Neural Networks and Deep Learning?

Neural Networks and Deep Learning is suitable for students ages 12 and up.

Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.

When deciding what to show young students always use your best judgement and consult a professional.

Where Can I Buy Neural Networks and Deep Learning?

Neural Networks and Deep Learning by Charu C. Aggarwal is sold by several retailers and bookshops. However, Read Time works with Amazon to provide an easier way to purchase books.

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