A3. Deep Learning Application for Finance (Jaimin M, 2022)
1. Course Overview:
1. Course Overview 00:00:00
2. Understanding the Applications of Deep Learning Algorithms in Finance World:
1. Discussing the Importance of Neural Network in Finance 00:01:14
2. Importance of Back Propagation 00:05:01
3. Understanding CNN and RNN 00:08:15
4. Risks and Problems Associated with Finance Industry 00:10:30
5. Summary 00:12:54
3. Analyzing the Importance of Deep Learning Algorithm to Predict a Stock Price:
1. Challenges of RNN 00:13:24
2. Overview of LSTM and GRU 00:15:46
3. Factors Impacting a Stock 00:17:07
4. Demo - Input Data of Tesla Stock 00:18:17
5. Demo - Exploratory Data Analysis 00:21:57
6. Demo - Preparing Training and Test Dataset 00:23:27
7. Summary 00:25:10
4. Predicting Stock Price Using Stacked LSTM:
1. Parameters Impacting the Stock Price of Tesla 00:25:38
2. LSTM Advantages 00:27:42
3. Challenges for Wider Acceptance of AI in Finance 00:28:29
4. Demo - Training Stacked LSTM Model 00:30:10
5. Demo - Evaluate the Model to Predict Future Price of Tesla Stock 00:32:32
6. Summary 00:34:45
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