TensorFlow 2.0. Main Commands and Operations (compare with TF 1.X)

#1. Static graph (TensorFlow 1.x) vs Eager execution (Tensorflow 2.0)

#2. TensorFlow 1.X (0:43)
#2.1. Installing TensorFlow 1.X (0:48)
#2.2. Variables and constants in TensorFlow 1.X. (1:42)
#2.2. Variables (1:46)
Here:
- initialize normal Variable in tensorflow 1.x (1:50)
- getting shape of variable (2:22)
- performing additional operation on the tensor produces another tf.Tensor object (2:39)
- if session is not initialized we cannot access values in the Variable or Tensor (2:55)

#2.3. Getting values from variables (3:10)
Here:
- initialize session (3:13)
- initialize all variables for the session (3:26)
- run the eval method environment with provided session to retrive values from it. (3:45)

#2.4. Constants and Tensors. (4:05)
Here:
- define a TensorFlow constant matrix (4:08)
- we are still not able to get the real value without defining a session (4:45)

#2.5. Getting values from constants (4:59)
Here:
- fetching the tensor from the tensor graph or session (5:10)

#3. TensorFlow 2.0 (5:35)
#3.1. Installing TensorFlow 2.0 via pip (5:38)
#3.2. Constants and Tensors (6:34)
Here:
- Defining a constant in TensorFlow 2.0 (6:38)
- Getting shape of a tensor (7:04)

#3.3. Getting values from constants (7:18)
Here:
- getting values straight from a tensorflow constant to numpy - without session (7:20)
- convert a numpy matrix back to a tensorflow (7:31)

#3.4. Operations with Constants or Tensors (8:20)
#3.5. Addition between scalar and tensor (8:45)
#3.6. Multiplication between scalar and tensor (9:01)
#3.7. Using Numpy functions on TensorFlow tensors (9:15)
Here:
- squaring all numbers on tensorflow 2.0 tensor object (9:18)
- square root of all numbers in a tensorflow tensor object (9:32)

#3.8. Dot product between two tensors (9:46)
#3.9. Operations with variables (10:12)
#3.10. Getting raw value from the variable (10:41)
#3.11. Changing specific value in TensorFlow variable (10:58)

#3.12. String in TensorFlow 2.0 (11:23)
#3.13. Simple Strings Operations (11:54)
#3.14. Storing Arrays of Strings (12:38)
Here:
- how to iterate through the TensorFlow 2.0 string array (13:11)

#4. Handling Devices in TensorFlow 2.0 (13:32)
#4.1. CPU (13:35)
#4.2. GPU (14:22)

Vytautas Bielinskas. 2019.

#tensorflowcommands #pythontensorflow #tensorflowoperations

[DataScienceGarage]

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