#KeyNote
#ANN #Keras #DEEPLEARNING #AI #TensorFlow
Keras is a deep learning API written in Python that can run on top of TensorFlow. It is quite popular among deep learning users because of its ease of use. TensorFlow is an end-to-end open-source deep learning framework developed and maintained by Google. Similar to Numpy, TensorFlow allows for mathematical computations and manipulation between numerical tensors, runs on CPUs, GPUs, and TPUs. Keras was incorporated in TensorFlow 2.0 (the recent version) as tf.keras (high-level API) and can run on the aforementioned hardwares. TensorFlow also allows for low-level operations with the TensorFlow Core API.
#ANN #Keras #DEEPLEARNING #AI #TensorFlow
Keras is a deep learning API written in Python that can run on top of TensorFlow. It is quite popular among deep learning users because of its ease of use. TensorFlow is an end-to-end open-source deep learning framework developed and maintained by Google. Similar to Numpy, TensorFlow allows for mathematical computations and manipulation between numerical tensors, runs on CPUs, GPUs, and TPUs. Keras was incorporated in TensorFlow 2.0 (the recent version) as tf.keras (high-level API) and can run on the aforementioned hardwares. TensorFlow also allows for low-level operations with the TensorFlow Core API.
TensorFlow and Scikit-learn
If you're interested in solving machine learning questions, two of the most popular open-source libraries in the world for solving these problems are TensorFlow and Scikit-learn.
TensorFlow and Scikit-learn, provide any data scientist the ability to use the most advanced techniques in supervised and unsupervised machine learning easily, and for a variety of situations. You can expect that TensorFlow and Scikit-learn will continue to be used for machine learning in both industry and academia for the foreseeable future.
@epythonlab #keynote #tensorflow #scikitlearn
If you're interested in solving machine learning questions, two of the most popular open-source libraries in the world for solving these problems are TensorFlow and Scikit-learn.
TensorFlow and Scikit-learn, provide any data scientist the ability to use the most advanced techniques in supervised and unsupervised machine learning easily, and for a variety of situations. You can expect that TensorFlow and Scikit-learn will continue to be used for machine learning in both industry and academia for the foreseeable future.
@epythonlab #keynote #tensorflow #scikitlearn