tags: jupyter tensorflow Deep learning
Summary of solutions:
1. Uninstall tensorFlow
Reason: The installed TensorFlow version has conflicts with the ENV of Conda. My ENV is available for TensorFlow1.4 installed before the normal situation of Python36. When the business is used in LSTM, it is reinstalled to 2.0. But I can't use it, but the result is still hung up
Test method: Open a new ipynb file. Import Pandas can try whether it can succeed.
At this time, check whether a new package is installed with the Jupyter conflict.
2. Other solutions
2.1 I can't use it here, I also make a reference
import os
os.environ["KMP_DUPLICATE_LIB_OK"]="TRUE"
2.2 Reinstall Jupyter, ipykernel, etc.
Install the specified sourcepip install -i https://pypi.douban.com/simple package name upgradepip install --upgrade package Jupyter notebook add kernel Reference materials: Jupyter adds kernel add pyt...
Kernel Errors often occur with ipynb files downloaded using git: Simply enter the following command in the console and the problem can be solved:...
Suppose the reader is using a virtual environment managed by conda. 1. Enter the virtual environment 2. Install ipykernel If you don't have pip3, use pip directly. Reference link:https://pypi.org/proj...
After installing anaconda, I found that the jupyter kernel always refers to the original python path, which causes all the installed libraries to be imported under the jupyter. Therefore: 1, de...
switching kernel jupyter notebook Need to add kernel, assuming add $ myenv, as follows:...
Make sure ipykernel is installed Then switch to the target environment, if not established first...
jupyter notebook add kernel selection/view kernel list May report an error, usuallypromp-toolkitIf the version is higher or lower, you can find a configured environment, look at the module version in ...
The kernel in jupyter corresponds to the virtual environment in anoconda. The virtual environments are isolated from each other. You can configure new versions of Python/tensorflow/pytorch and third-p...
Since most of the operations about Jupyter Kernel, this summary will continue to update ~~ Welcome God's comment related to the operation ~~ Article catalog Add kernel 2. View all currently available ...
Install ipykernel Write an environmentnotebookofkernelmiddle Revisekernel.jsonDocument, modify yourselfpythonEnvironmental path The effect is as follows:...