- 2.1. What is TensorFlow?
- 2.2. Understanding Computational Graphs and Sessions
- 2.2.1 Computational Graphs
- 2.2.1 Sessions
- 2.3. Variables, Constants, and Placeholders
- 2.3.1. Variables
- 2.3.2. Constants
- 2.3.3. Placeholders and Feed Dictionaries
- 2.4. Introducing TensorBoard
- 2.4.1 Creating Name Scope in TensorBoard
- 2.5. Handwritten digits classification using Tensorflow
- 2.6. Visualizing Computational graph in TensorBord
- 2.7. Introducing Eager execution
- 2.8. Math operations in TensorFlow
- 2.9. Tensorflow 2.0 and Keras
- 2.9.1. Bonjour Keras
- 2.9.2. Defining models in Keras
- 2.9.3. Compiling the model
- 2.9.4. Training the model
- 2.9.5. Evaluating the model
- 2.10. MNIST digits classification in Tensorflow 2.0
- 2.11. Should we use Keras or TensorFlow?
Files
02. Getting to Know TensorFlow
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