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For the first time I'v installed tensorflow with conda installation. Then I actually work with a seq2seq model. After that I have again installed the tensorflow with the pip installation. But now the libraries are very different. All the old scripts are misplaced etc. Why is that ? Why I didn't face this when I was working with coda instillation
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TensorFlow requires a recent version of pip, so upgrade your pip installation to be sure you're running the latest version. Then, install TensorFlow with pip. Note: Do not install TensorFlow with conda.
The fundamental difference between pip and Conda packaging is what they put in packages. Pip packages are Python libraries like NumPy or matplotlib . Conda packages include Python libraries (NumPy or matplotlib ), C libraries ( libjpeg ), and executables (like C compilers, and even the Python interpreter itself).
Built into Anaconda, conda is a powerful package manager and environment manager that you use with command-line in the Anaconda Prompt for Windows, or in a terminal window for macOS or Linux. pip is the standard package manager for python, meaning you can use it both inside and outside of Anaconda.
Anaconda makes it easy to install TensorFlow, enabling your data science, machine learning, and artificial intelligence workflows.
It has been claimed that Tensorflow installed with Conda performs a lot faster than a Pip installation, for example:
https://towardsdatascience.com/stop-installing-tensorflow-using-pip-for-performance-sake-5854f9d9eb0c
Conda also installs all of the package dependencies automatically, which Pip does not, as far as I'm aware.
https://www.anaconda.com/blog/developer-blog/tensorflow-in-anaconda/
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