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