Variables, constants, and placeholders are the fundamental elements of TensorFlow. However, there is always confusion between these three. Let's look at each element one by one and learn the difference between them.
Variables, constants, and placeholders
by Sudharsan Ravichandiran
Hands-On Reinforcement Learning with Python
- Title Page
- Copyright and Credits
- Dedication
- Packt Upsell
- Contributors
- Preface
- Introduction to Reinforcement Learning
- Getting Started with OpenAI and TensorFlow
- The Markov Decision Process and Dynamic Programming
- Gaming with Monte Carlo Methods
- Temporal Difference Learning
- Multi-Armed Bandit Problem
- Deep Learning Fundamentals
- Atari Games with Deep Q Network
- Playing Doom with a Deep Recurrent Q Network
- The Asynchronous Advantage Actor Critic Network
- Policy Gradients and Optimization
- Capstone Project – Car Racing Using DQN
- Recent Advancements and Next Steps
- Assessments
- Other Books You May Enjoy
Variables, constants, and placeholders
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