Introduction to Deep Learning and nural network

Answer three of the following questions: 1. Describe the ReLU activation function: it's equation, shape, advantages, disadvantages and the solutions for its problems. 2. Describe the concept of mini-batch GD and its advantages. 3. Describe the Vanishing Gradient problem presenting the effects and the solutions. 4. Describe the dropout process. Answer the following two questions: 5. What are the main types of layers in CNN networks and their preferred order? 6. Suppose we have an image with 40423 dimensions, and we apply a convolution operation with six 55 filters, what are the dimensions of the output map