Learning Deep Learning: Theory and Practice of Neural Networks, Computer Vision, Natural Language Processing, and Transformers Using TensorFlow
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(as of Nov 21,2024 11:10:42 UTC – Details)
From the Publisher
You Will Learn About
Perceptron and other artificial neurons
They are the fundamental building blocks of deep neural networks that have enabled the DL revolution.
Fully connected feedforward networks and convolutional networks
You will apply these networks to solve practical problems, such as predicting housing prices based on a large number of variables or identifying to which category an image belongs.
Ways to represent words from a natural language using an encoding
Encoding captures some of the semantics of the encoded words. Encodings are used together with a recurrent neural network to create a neural-based natural language translator. This translator can automatically translate simple sentences from English to French or other similar languages.
Building an image-captioning network
Networks that combines image and language processing. This network takes an image as an input and automatically generates a natural language description of the image.
Publisher : Addison-Wesley Professional; 1st edition (August 17, 2021)
Language : English
Paperback : 752 pages
ISBN-10 : 0137470355
ISBN-13 : 978-0137470358
Item Weight : 2.15 pounds
Dimensions : 7.3 x 1.1 x 9 inches
Are you interested in diving into the world of deep learning and mastering the theory and practice of neural networks, computer vision, natural language processing, and transformers? Look no further than our new post on Learning Deep Learning using TensorFlow!
In this comprehensive guide, we will cover everything you need to know to become proficient in deep learning. From understanding the fundamentals of neural networks to implementing advanced techniques in computer vision and natural language processing, we will provide you with a solid foundation in this cutting-edge field.
Whether you are a beginner looking to start your journey in deep learning or an experienced practitioner seeking to enhance your skills, this post will help you achieve your goals. So grab your laptop, fire up TensorFlow, and let’s start learning together!
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