Deep Learning Pipeline: Building a Deep Learning Model with TensorFlow

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Publisher ‏ : ‎ Apress; 1st ed. edition (December 21, 2019)
Language ‏ : ‎ English
Paperback ‏ : ‎ 580 pages
ISBN-10 ‏ : ‎ 1484253485
ISBN-13 ‏ : ‎ 978-1484253489
Item Weight ‏ : ‎ 1.77 pounds
Dimensions ‏ : ‎ 6.1 x 1.31 x 9.25 inches

Deep Learning Pipeline: Building a Deep Learning Model with TensorFlow

In this post, we will explore the process of building a deep learning model using TensorFlow, one of the most popular deep learning frameworks. TensorFlow provides a powerful and flexible platform for building and training deep neural networks, making it an excellent choice for developing cutting-edge AI applications.

The deep learning pipeline involves several key steps, including data preprocessing, model building, training, evaluation, and deployment. We will walk through each of these steps in detail, providing code examples and practical tips to help you successfully build your own deep learning model.

By the end of this post, you will have a solid understanding of how to leverage TensorFlow to create a deep learning model that can tackle complex tasks such as image classification, natural language processing, and more. So let’s dive in and start building our deep learning pipeline with TensorFlow!
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