From the course: Building Deep Learning Applications with Keras
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Introduction to the Keras Sequential API
From the course: Building Deep Learning Applications with Keras
Introduction to the Keras Sequential API
- [Instructor] Now, let's recall our Keras High example one more time, where we had students, teachers, and principle and veterinary and all other team members. So, we are creating a neural network with Keras here. It's like assembling a learning team. Each layer acts as a mix of neurons that combine to form a complex structure. We start with the input layer where we input the initial data. Hidden layers are then added, incorporating neurons with activation functions. Finally, we have the output layer, which presents predictions. The sequential API guides us, allowing us to add layers step-by-step until our network is ready for predictions. Our journey to build a model follows a step-by-step blueprint, turning raw data into valuable insights through data pre-processing. So, this simple blueprint is a way to build networks in Keras. After we do the data pre-processing, then Keras offers the sequential model API, which simplifies the process a lot. After we prepare the data, we build…
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