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Time Series Forecasting using Deep Learning: Combining PyTorch, RNN, TCN, and Deep Neural Network Models to Provide Production-Ready Prediction Solutions (English Edition) - Softcover
- PublisherBPB Publications
- Publication date2021
- ISBN 10 9391392571
- ISBN 13 9789391392574
- BindingPaperback
- LanguageEnglish
- Number of pages314
- Rating
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Time Series Forecasting using Deep Learning
Seller: Vedams eBooks (P) Ltd, New Delhi, India
Seller rating 4 out of 5 stars
Soft cover. Condition: New. 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 search, which automates searching for an ideal neural network design for a certain task. Finally by the end of the book, readers would be able to solve complex real-world prediction issues by applying the models and strategies learnt throughout the course of the book. This book also offers another great way of mastering deep learning and its various techniques. Seller Inventory # 143090
Quantity: 5 available
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Time Series Forecasting using Deep Learning: Combining PyTorch, RNN, TCN, and Deep Neural Network Models to Provide Production-Ready Prediction Solutions (English Edition)
Seller: Book Deals, Tucson, AZ, U.S.A.
Seller rating 5 out of 5 stars
Condition: Very Good. Very Good condition. Shows only minor signs of wear, and very minimal markings inside (if any). 1.3. Seller Inventory # 353-9391392571-vrg
Quantity: 1 available