epub | 54.03 MB | English |Autor : Ivan Vasilev | 2019 | Packt Publishing

Book Description :

Gain expertise in advanced deep learning domains such as neural networks, meta-learning, graph neural networks, and memory augmented neural networks using the Python ecosystem
Key Features
[*]Get to grips with building faster and more robust deep learning architectures
[*]Investigate and train convolutional neural network (CNN) models with GPU-accelerated libraries such as TensorFlow and PyTorch
[*]Apply deep neural networks (DNNs) to computer vision problems, NLP, and GANsBook Description
In order to build robust deep learning systems, you'll need to understand everything from how neural networks work to training CNN models. In this book, you'll discover newly developed deep learning models, methodologies used in the domain, and their implementation based on areas of application.
You'll start by understanding the building blocks and the math behind neural networks, and then move on to CNNs and their advanced applications in computer vision. You'll...

Category : | Pattern Recognition, Data Modeling & Design, Neural Networks

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