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These applications include Computer Vision, Natural Language Processing, Time Series, and Robotics. The Python Deep Learning Cookbook presents technical solutions to the issues presented, along with a ...
This repository contains 35 python notebooks demonstrating most of the key machine learning techniques in Keras. The notebooks accompany the book Deep Learning Cookbook but work well on their own. A ...
As you progress, you’ll use PyTorch, a popular deep learning framework based on Python to build production-ready prediction solutions. By the end of this book, you'll have learned how to solve ...
%28Adaptive%20Computation%20and%20Machine%20Learning%20series%29%20Ian%20Goodfellow%2C%20Yoshua%20Bengio%2C%20Aaron%20Courville%20-%20Deep%20Learning-The%20MIT ...
Teaching yourself deep learning is a long and arduous process. You need a strong background in linear algebra and calculus, good Python programming skills, and a solid grasp of data science ...
Python is recognized as one of the most commonly used programming languages worldwide, especially in the sphere of deep learning. Its adaptability and easy-to-use features make it an ideal ...
Learn how to create a simple neural network, and a more accurate convolutional neural network, with the PyTorch deep learning library PyTorch is a Python-based tensor computing library with high ...
The HPE Deep Learning Cookbook is a one-of-a-kind technology guide designed to help users estimate and refine performance, characterize deep learning frameworks, and aid the selection of hardware and ...
This is an introductory course to deep learning where you will learn how to train high-dimensional non-linear models, represented by deep artificial neural networks (ANN), using few lines of Python ...