It takes the average reader 5 hours and 7 minutes to read Fundamentals of Deep Learning by Nikhil Buduma
Assuming a reading speed of 250 words per minute. Learn more
With the reinvigoration of neural networks in the 2000s, deep learning has become an extremely active area of research, one that’s paving the way for modern machine learning. In this practical book, author Nikhil Buduma provides examples and clear explanations to guide you through major concepts of this complicated field. Companies such as Google, Microsoft, and Facebook are actively growing in-house deep-learning teams. For the rest of us, however, deep learning is still a pretty complex and difficult subject to grasp. If you’re familiar with Python, and have a background in calculus, along with a basic understanding of machine learning, this book will get you started. Examine the foundations of machine learning and neural networks Learn how to train feed-forward neural networks Use TensorFlow to implement your first neural network Manage problems that arise as you begin to make networks deeper Build neural networks that analyze complex images Perform effective dimensionality reduction using autoencoders Dive deep into sequence analysis to examine language Learn the fundamentals of reinforcement learning
Fundamentals of Deep Learning by Nikhil Buduma is 298 pages long, and a total of 76,884 words.
This makes it 101% the length of the average book. It also has 94% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes 7 hours to read Fundamentals of Deep Learning aloud.
Fundamentals of 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.
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