TensorFlow Developer Certificate – Time Series, Sequences, and Predictions

سرفصل های دوره

TensorFlow is a powerful open-source library for machine learning and numerical computation to develop and train deep learning models. This course will teach you how to analyze time series data and accurately forecast future events.

1. Course Overview

1. Course Overview

2. Understanding and Preparing Time Series Data

1. Intended Outcome and Prerequisites

2. Defining Time Series and Sequences

3. Demo - Time Series Visualization

4. Data Preparation Techniques for Time Series Learning

5. Demo - Time Series Data Preparation

6. Addressing Sequence Bias in Time Series Analysis

7. Demo - Techniques for Identifying and Reducing Sequenc

3. Training and Evaluating Time Series Models

1. Overview of Error Metrics

2. Understanding the Implications of Mean Absolute Error (M

3. Techniques for Model Training and Hyperparameter Tuning

4. Demo - Implementing Model Training and Evaluation

5. Implementing Recurrent Neural Networks (RNNs)

6. Demo - Building an RNN for Time Series Prediction

7. Implementing Convolutional Neural Networks (CNNs)

8. Demo - Implementing a CNN for Time Series Prediction

4. Implementing Advanced Techniques for Time Series Analysis

1. Understanding Data Windowing in Time Seri

2. Trailing and Centered Windows in Time Ser

3. Demo - Comparing Trailing Windows

4. Leveraging TensorFlow for Forecasting

5. Demo - Predictive Modelling with TensorFl

6. Advanced Forecasting Techniques with Tens

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تولید کننده: PluralSight