Categories
Entrepeneurship
Deep Learning – Recurrent Neural Networks with TensorFlow
Course Curriculum
Welcome
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Introduction
00:00 -
Outline
00:00
Recurrent Neural Networks (RNNs), Time Series, and Sequence Data
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Sequence Data
00:00 -
Forecasting
00:00 -
Autoregressive Linear Model for Time Series Prediction
00:00 -
Proof That the Linear Model Works
00:00 -
Recurrent Neural Networks (Elman Unit Part 1)
00:00 -
Recurrent Neural Networks (Elman Unit Part 2)
00:00 -
RNN Code Preparation
00:00 -
RNN for Time Series Prediction
00:00 -
Paying Attention to Shapes
00:00 -
GRU and LSTM (Part 1)
00:00 -
GRU and LSTM (Part 2)
00:00 -
A More Challenging Sequence
00:00 -
Demo of the Long-Distance Problem
00:00 -
RNN for Image Classification (Theory)
00:00 -
RNN for Image Classification (Code)
00:00 -
Stock Return Predictions Using LSTMs (Part 1)
00:00 -
Stock Return Predictions Using LSTMs (Part 2)
00:00 -
Stock Return Predictions Using LSTMs (Part 3)
00:00 -
Other Ways to Forecast
00:00 -
Other Ways to Forecast
00:00
Natural Language Processing (NLP)
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Embeddings
00:00 -
Code Preparation (NLP)
00:00 -
Text Preprocessing
00:00 -
Text Classification with LSTMs
00:00
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£82.99
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LevelIntermediate
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Last UpdatedOctober 22, 2024
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CertificateCertificate of completion
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