Beginning Deep Learning with TensorFlow: Work with Keras, MNIST Data Sets, and Advanced Neural Networks

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Publisher ‏ : ‎ Apress; 1st ed. edition (January 28, 2022)
Language ‏ : ‎ English
Paperback ‏ : ‎ 740 pages
ISBN-10 ‏ : ‎ 148427914X
ISBN-13 ‏ : ‎ 978-1484279144
Item Weight ‏ : ‎ 2.2 pounds
Dimensions ‏ : ‎ 6.1 x 1.67 x 9.25 inches

Are you interested in diving into the world of deep learning with TensorFlow? Look no further! In this post, we will guide you through the basics of getting started with TensorFlow, using Keras for building neural networks, working with the popular MNIST data sets, and exploring advanced neural network architectures.

TensorFlow is an open-source machine learning framework developed by Google that has gained immense popularity for its ease of use and flexibility. Keras, a high-level neural networks API written in Python, is seamlessly integrated with TensorFlow, making it the perfect choice for beginners and experts alike.

The MNIST data sets consist of handwritten digits and are often used as a benchmark for testing the performance of machine learning algorithms. In this post, we will show you how to load and preprocess the MNIST data sets using TensorFlow, and train a simple neural network model to classify the digits with high accuracy.

But we won’t stop there – we will also explore more advanced neural network architectures, such as convolutional neural networks (CNNs) and recurrent neural networks (RNNs), and demonstrate how to implement them using TensorFlow and Keras.

So, if you’re ready to embark on your journey into the exciting world of deep learning, stay tuned for our upcoming posts on Beginning Deep Learning with TensorFlow!
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