As of today, there is no mainstream road to obtaining uncertainty estimates from neural networks. Millions of developers and companies build, ship, and maintain their software on GitHub — the largest and most advanced development platform in the world. GitHub is where the world builds software. I tried to build Tensorflow from source with Cuda 11.1 and 2.4.0-rc1 branch, it seemed to work. Maybe a PATH / PYTHONPATH issue? Recall that we previously discussed the TensorFlow installation as being as simple as running the command pip install tensorflow , but note that we also discussed needing to check to ensure you meet the TensorFlow system requirements . How to Fix Could not Find a Version that Satisfies the Requirement for Tensorflow. #defining a keras sequential model model <- keras_model_sequential() #defining the model with 1 input layer[784 neurons], 1 hidden layer[784 neurons] with dropout rate 0.4 and 1 output layer[10 neurons] ... > install_tensorflow() Error: could not find function “install_tensorflow” ... Error: Installation of TensorFlow not found. Once a Sequential model has been built, it behaves like a Functional API model. Step 0: Check Raspberry Pi (GNU/Linux 10 (Buster)), Python and Pip version. Install TensorFlow The first step is to have TensorFlow installed. Just reinstall everything from scratch. This means that every layer has an input and output attribute. These attributes can be used to do neat things, like quickly creating a model that extracts the outputs of all intermediate layers in a Sequential model: Note: As of 06/09/20, Do not use Anaconda because the lastest version of Anaconda’s python version is 3.6.3 which runs into the “Error: Tensorflow.python.platform not found”. If you are urgent, you can build tensorflow from source with Cuda 11.1 as a temporary expedient. All that can be said is that, normally, approaches tend to be Bayesian in spirit, involving some way of putting a prior over model weights. Installation of Keras and TensorFlow in R installation #1136 opened Oct 28, 2020 by negulu Installation of TensorFlow not found. Hi Guys, I installed tensorflow in my system, but I am not able to import ... import tensorflow ModuleNotFoundError: No module named 'tensorflow' installation If the issue is with your Computer or a Laptop you should try using Restoro which can scan the repositories and replace corrupt and missing files. cat /etc/os-release python3 --version pip3 --version . Keras is a high-level neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.It was developed with a focus on enabling fast experimentation. Feature extraction with a Sequential model. Make sure that the Python you're calling is the same as the Python to which you're installing packages with pip (especially if you installed Anaconda). Setup import tensorflow as tf from tensorflow import keras from tensorflow.keras import layers When to use a Sequential model. Keras: Deep Learning library for Theano and TensorFlow You have just found Keras. 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