Home Data Deep Learning - Artificial Neural Networks with Tensorflow [Video]

Deep Learning - Artificial Neural Networks with Tensorflow [Video]

By Lazy Programmer
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Video $109.99
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50+ new titles added every month on new and emerging tech
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What do you get with a Packt Subscription?
This book & 6500+ ebooks & video courses on 1000+ technologies
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50+ new titles added every month on new and emerging tech
Early Access to eBooks as they are being written
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Customised display settings for better reading experience
50+ new titles added every month on new and emerging tech
Playlists, Notes and Bookmarks to easily manage your learning
Mobile App with offline access
What do you get with eBook?
Download this book in EPUB and PDF formats
Access this title in our online reader
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Stream this video
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Download a zip folder consisting of audio files (in MP3 Format) along with supplementary PDF
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Flashcards, Mock exams, Exam Tips, Practice Questions
Access these resources with our interactive certification platform
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About this video
TensorFlow is the world’s most popular library for deep learning, and it is built by Google. It is the library of choice for many companies doing AI and machine learning. So, if you want to do deep learning, you got to know TensorFlow. In this course, you will learn how to use TensorFlow 2 to build deep neural networks. We will first start by learning the basics of machine learning, classification, and regression. Then in the next section, we will understand the connection between artificial neural networks and biological neural networks and how that inspires our thinking in the field of deep learning. In the last two sections, you will learn about loss functions to understand mean squared error, binary cross entropy, and categorical cross entropy and gradient descent to understand stochastic gradient descent, momentum, variable and adaptive learning rates, and Adam optimization. By the end of this course, we will have understood how to use TensorFlow for artificial neural networks in deep learning. All the notebooks used in the course are available at: https://github.com/PacktPublishing/Deep-Learning---Artificial-Neural-Networks-with-TensorFlow
Publication date:
February 2023
Publisher
Packt
Duration
4 hours 47 minutes
ISBN
9781804617250

About the Author
  • Lazy Programmer

    The Lazy Programmer is an AI and machine learning engineer with a focus on deep learning, who also has experience in data science, big data engineering, and full-stack software engineering. With a background in computer engineering and specialization in machine learning, he holds two master’s degrees in computer engineering and statistics with applications to financial engineering. His expertise in online advertising and digital media includes work as both a data scientist and big data engineer. He has created deep learning models for prediction and has experience in recommendation systems using reinforcement learning and collaborative filtering. He is a skilled instructor who has taught at universities including Columbia, NYU, Hunter College, and The New School. He has web programming expertise, with experience in technologies such as Python, Ruby/Rails, PHP, and Angular, and has provided his services to multiple businesses.

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Deep Learning - Artificial Neural Networks with Tensorflow [Video]
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