Deploying TenserFlow as Azure ML Service
TenserFlow as Azure ML Service
Another Amazing session sharing his knowledge and experiences with the introduction of Google AI and its Intelligence by RESEARCHERS in computer vision and Developer at EK BANA.
He Introduced about Tensor Flow and AZURE helping on ML.
“TensorFlow is a 2nd Generation API of Google’s open source software library for Deep Learning.”
“TensorFlow is an open-source software library for dataflow programming across a range of tasks. It is a symbolic math library, and is also used for machine learning applications such as neural networks.”
He also Shared with us on Neuron and Neural Network works, about deep Neural Network. He also cameup with the Demo to show to the participants for the Better Understanding about the Tensor Flow and its Azure Machine Language Services.
As we know,
“Machine learning involves training a computer model to find patterns in data. The more high-quality data that you train a well-designed model with, the more intelligent your solution will be. You can build state-of-the-art model architectures with the TensorFlow deep learning framework that powers many Google products, from Google Photos to Google Cloud Speech. Cloud ML Engine enables you to automatically design and evaluate model architectures to achieve an intelligent solution faster and without experts. Use TensorFlow Estimators for powerful distributed training, Keras to easily build custom estimators, or low-level TensorFlow for full control. Cloud ML Engine scales to leverage all your data. It can train any TensorFlow model at large scale on a managed cluster.”