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Can I read Time Series Forecasting using Deep Learning: Combining PyTorch, RNN, TCN, and Deep Neural Network Models to Provide Production-Ready Prediction Solutions on EtoBox?
Time Series Forecasting using Deep Learning: Combining PyTorch, RNN, TCN, and Deep Neural Network Models to Provide Production-Ready Prediction Solutions by Ivan Gridin is a nonfiction available to read on EtoBox.
What is Time Series Forecasting using Deep Learning: Combining PyTorch, RNN, TCN, and Deep Neural Network Models to Provide Production-Ready Prediction Solutions about?
<p>Explore the infinite possibilities offered by Artificial Intelligence and Neural Networks<br></p><p>Key Features<br> ? Covers numerous concepts, techniques, best practices and troubleshooting tips by community experts.<br> ? Includes practical demonstration of robust deep learning prediction models with exciting use-cases.<br> ? Covers the use of the most powerful research toolkit such as Python, PyTorch, and Neural Network Intelligence.<br></p><p>Description<br> This book is amid at teaching the readers how to apply the deep learning techniques to the time series forecasting challenges and how to build prediction models using PyTorch.The readers will learn the fundamentals of PyTorch in the early stages of the book. Next, the time series forecasting is covered in greater depth after the programme has been developed. You will try to use machine learning to identify the patterns that can help us forecast the future results. It covers methodologies such as Recurrent Neural Network, Encoder-decoder model, and Temporal Convolutional Network, all of which are state-of-the-art neural network architectures. Furthermore, for good measure, we have also introduced the neural architecture
Who reads Time Series Forecasting using Deep Learning: Combining PyTorch, RNN, TCN, and Deep Neural Network Models to Provide Production-Ready Prediction Solutions?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Ivan Gridin
- Publisher
- BPB Publications
- Published
- 2022
- Language
- EN
- ISBN
- 9789391392574
- Category
- nonfiction
- Subjects
- Science, Computer Science, Mathematics
