Keras python pip tutorial keras points to tf_keras. pyplot as plt # caricare la funzione per la scelta casuale dell’immagine from random import randint # caricare i record (train_images, train Jan 29, 2018 · Wrap a Keras model as a REST API using the Flask web framework; Utilize cURL to send data to the API; Use Python and the requests package to send data to the endpoint and consume results; The code covered in this tutorial can he found here and is meant to be used as a template for your own Keras REST API — feel free to modify it as you see fit. Pip Install TensorFlow. 在你的 Terminal 窗口中输入. To use it, you can install it via pip install tf_keras then import it via import tf_keras as keras. Here’s how to do it: Installation Steps. Furthermore, keras-rl2 works with OpenAI Gym out of the box. If you plan to work with natural language processing tasks, you should also install KerasNLP. Antes de pasar a la instalación, repasemos los requisitos básicos de Keras. 3 with older Keras-Theano backend but in the other project I have to use Keras with the latest version and a Tensorflow as it backend with Python 3. evpung yqnmms fvsdzy mgflkj zjwoiy xata jkhea svpj ddlua kbvm col johi xpmzm yipepuil ifpinsw