This error may come if you have installed TensorFlow 2.0 and want to run code that is not compatible with TensorFlow 2.0
You may like to watch a video on Neural Network from Scratch in Python
For example if you are trying to run below code, you will get the above error.
x = tf.placeholder("float", None)The sample error is shown in the Image below
To fix this we need to use the below code
import tensorflow.compat.v1 as tf
tf.disable_v2_behavior()Then if you run the same code it will not give you error as below
You may like to read our other popular posts as below:
- Linear Regression in Python in 10 Lines
- Logistic Regression In Python in 10 Lines
- Generating Synthetic Data for Logistic Regression
- Scatter Plot using Seaborn and Sklearn
I hope you enjoyed this article and can start using some of the techniques described here in your own projects soon.
Do you really think that a neural network is a block box? I believe, a neuron inside the human brain may be very complex, but a neuron in a neural network is certainly not that complex. In this video, we are going to discuss how to implement a neural network from scratch in Python.
