Ebook: Deep Learning with PyTorch
- Genre: Computers // Cybernetics: Artificial Intelligence
- Tags: Machine Learning, Neural Networks, Deep Learning, Image Processing, Python, Convolutional Neural Networks, Generative Adversarial Networks, Web Applications, Image Recognition, Deployment, Gradient Descent, Flask, NumPy, PyTorch, HDF5, Overfitting, Time Series Analysis, Activation Functions, AlexNet, ResNet, Cancer, Tensor Calculus, Pretrained Networks, CycleGAN, Torch Hub
- Year: 2020
- Publisher: Manning Publications
- City: Shelter Island, NY
- Edition: 1
- Language: English
- pdf
Every other day we hear about new ways to put deep learning to good use: improved medical imaging, accurate credit card fraud detection, long range weather forecasting, and more. PyTorch puts these superpowers in your hands, providing a comfortable Python experience that gets you started quickly and then grows with you as you, and your deep learning skills, become more sophisticated.
Deep Learning with PyTorch teaches you how to implement deep learning algorithms with Python and PyTorch. This book takes you into a fascinating case study: building an algorithm capable of detecting malignant lung tumors using CT scans. As the authors guide you through this real example, you'll discover just how effective and fun PyTorch can be.
Deep Learning with PyTorch teaches you how to implement deep learning algorithms with Python and PyTorch. This book takes you into a fascinating case study: building an algorithm capable of detecting malignant lung tumors using CT scans. As the authors guide you through this real example, you'll discover just how effective and fun PyTorch can be.
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