Day #120 - Tensorflow

Tensor (N-Dimensional array of data)

• High Performance Library for Numerical Computation
• Represented as Directed Graphs
• DAG (Directed Acyclic Graphs)
• Edges - Arrays of Data

DAG

• Language independent version of representation
• Similar to JVM
• Tensorflow engine written in C++
• Tensorflow Lite - On device interference of ML Models

API Hierarchy

• Number of abstraction layers
• High Level API -> tf.estimator
• tf.layers, tf.losses, tf.metrics -> Custom NN Models
• Core Tensorflow Python
• Core Tensorflow C++
• CPU / GPU / TPU / Android

Execution

• Code
• Tensors Definition
• Creates DAG
• Run DAG in Session
• Lazy Evaluation model (minimize context switches)

Graph and Session

• Explicit edges to represent dependencies
• Helps to partition and run parallel pieces

 
Happy Learning!!!