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Deep learning. Artificial neural networks with TensorFlow 2 / by : the Lazy Programmer.
- Format:
- Video
- Author/Creator:
- Lazy Programmer, author, speaker.
- Series:
- Academic Video Online
- Language:
- English
- Subjects (All):
- TensorFlow.
- Neural networks (Computer science).
- Deep learning (Machine learning).
- Machine learning.
- Genre:
- Instructional films.
- Physical Description:
- 1 online resource (288 minutes)
- Edition:
- [First edition].
- Other Title:
- Deep learning. Artificial neural networks with TensorFlow
- Place of Publication:
- Birmingham, England : PACKT Publishing, 2023.
- Language Note:
- In English.
- System Details:
- video file
- Summary:
- Understand the utilization of TensorFlow 2 to construct artificial neural networks. The course covers the basics of machine learning, classification, and regression. Explore the connection between artificial neural networks and biological neural networks. In Detail: 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 GitHub.
- Participant:
- Lazy Programmer, presenter.
- Notes:
- Title from resource description page (viewed October 10, 2023).
- Title from title screen (viewed December 04, 2023).
- OCLC:
- 1373594789
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