Part-03 Tensorflow

1. 1Build a simple TensorFlow model to understand the computational graph
2. 2Run a TensorFlow session to visualize the graph
3. 3Configure the graph to optimize computation
4. 4Test the model using the optimized graph
5. 5Apply the computational graph to a real-world problem

Machine learning engineers and data scientists can benefit from understanding TensorFlow's computational graph to optimize their models

💡 TensorFlow's computational graph enables efficient computation by representing complex calculations as a graph of nodes and edges

📊 Learn about TensorFlow's computational graph and optimize your models!