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Shop for Deep Learning for Time Series Forecasting: Tutorial and Literature Survey.
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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 [Book]
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Time Series Forecasting in Python [eBook]
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Deep Learning in Time Series Analysis [Book]
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Deep Learning with R, Second Edition [Book]
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Attacks, Defenses and Testing for Deep Learning [Book]
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Time-Series Prediction and Applications: A Machine Intelligence Approach [Book]
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Deep Learning with R for Beginners: Design Neural Network Models in R 3.5 Using TensorFlow, Keras, and MXNet [eBook]
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Beginning Deep Learning with TensorFlow: Work with Keras, MNIST Data Sets, and Advanced Neural Networks [Book]
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Visual and Text Sentiment Analysis Through Hierarchical Deep Learning Networks [Book]
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Learning PyTorch 2.0: Experiment deep learning from basics to complex models using every potential capability of Pythonic PyTorch [eBook]
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Deep Learning Neural Networks: Design and Case Studies [Book]
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Deep Learning with JavaScript: Neural Networks in TensorFlow.js [Book]
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Deep Learning with TensorFlow and Keras: Build and Deploy Supervised, Unsupervised, Deep, and Reinforcement Learning Models [eBook]
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Machine Learning Concepts with Python and the Jupyter Notebook Environment: Using Tensorflow 2.0 [Book]
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Hands-On Unsupervised Learning with Python: Implement Machine Learning and Deep Learning Models Using Scikit-Learn, TensorFlow, and More [eBook]
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Deep Learning Architectures: A Mathematical Approach [Book]
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Advanced Forecasting with Python: With State-of-the-Art-Models Including LSTMs, Facebook’s Prophet, and Amazon’s DeepAR [Book]
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TensorFlow Deep Learning Projects: 10 Real-world Projects on Computer Vision, Machine Translation, Chatbots, and Reinforcement Learning [Book]
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Deep Learning Applications: In Computer Vision, Signals and Networks [Book]
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Applied Deep Learning with TensorFlow 2: Learn to Implement Advanced Deep Learning Techniques with Python [Book]
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