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\nDeep Learning - Recurrent Neural Networks with TensorFlow - Stock Return Predictions Using LSTMs (Part 1)\n

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\nIn this video, we will understand why one-step prediction on stock price is misleading and unconventional. This clip is from the chapter \"Recurrent Neural Networks (RNNs), Time Series, and Sequence Data\" of the series \"Deep Learning -...\nIn this video, we will understand why one-step prediction on stock price is misleading and unconventional.

This clip is from the chapter \"Recurrent Neural Networks (RNNs), Time Series, and Sequence Data\" of the series \"Deep Learning - Recurrent Neural Networks with TensorFlow\".In this section, we will cover Recurrent Neural Networks (RNNs), time series, and sequence data.\n
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Resource Details

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Curator Rating
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Educator Rating
Not yet Rated
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Media Length
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12:06
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Grade
Higher Ed
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Subjects
Math
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Media Type
Instructional Videos
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Source:
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\nPackt - Data\n\n
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Date
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2023
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Language
English
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Audiences
For Teacher Use
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Usage Permissions
Fine Print: Educational Use
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Concepts

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data science, making predictions, time, series, values, data, work, resources
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Additional Tags

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recurrent neural networks, tensorflow 2, machine learning, neural networks, data learning, simple rnns, elman unit, gru, gated recurrent unit, lstm, long short-term memory unit, time series, forecasting, stock price predictions, stock return predictions, natural language processing (nlp), stock price, deep learning, trading day, train set, lstm network, data set, price, step, columns, answer, good, close, make, model, code, lecture, encountered, notebook, question, people, teach, popular
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Classroom Considerations

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Best For: Explaining a topic
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Educator Ratings

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\n\" data-title=\"Get Full Access\" data-container=\"body\" rel=\"popover\" tabindex=\"0\" aria-label=\"Play video: Deep Learning - Recurrent Neural Networks with TensorFlow - Stock Return Predictions Using LSTMs (Part 1)\" href=\"/subscription/new\">\"Deep\n\n
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