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Cloud ML Engine Your Friend on cloud

What we are doing here. Theory of Not relativity but cloud ml engine a bit of tensorflow(not stack overflow) and hands on in Create a TensorFlow training application and validate it locally. Run your training job on a single worker instance in the cloud. Run your training job as a distributed training job in the cloud. Optimize your hyperparameters by using hyperparameter tuning. Deploy a model to support prediction. Request an online prediction and see the response. Request a batch prediction. What We are building here: a wide and deep model for predicting income category based on United States Census … Continue reading Cloud ML Engine Your Friend on cloud

When Mom can’t figure it out whether there is a cat or dog Data Raconteur son build a classifier for her mom.

Hi I am a student in XYZ school but don’t think me a kid I know pretty well Deep learning for starter I can tell you the difference between perceptron and Deep Neural Networks .I bet 40% of you even … Continue reading When Mom can’t figure it out whether there is a cat or dog Data Raconteur son build a classifier for her mom.

What is Computer Vision An Introduction

Computer vision is an interdisciplinary scientific field that deals with how computers can be made to gain high-level understanding from digital images or videos. From the perspective of engineering, it seeks to automate tasks that the human visual system can do. what computer vision consist of : Artificial intelligence: Areas of artificial intelligence deal with autonomous planning or deliberation for robotical systems to navigate through an environment. A detailed understanding of these environments is required to navigate through them. Information about the environment could be provided by a computer vision system, acting as a vision sensor and providing high-level information about the environment and the robot. Artificial intelligence … Continue reading What is Computer Vision An Introduction

Ceiling Analysis in Machine Learning?

Ceiling Analysis is a way to systematically find the weakest component of your system, and therefore optimising that weakest component would best serve your time to bring the greatest improvement to the overall system. Why it is important in case of deep learning? Ceiling analysis is the process of manually overriding each component in your system to provide 100% accurate predictions with that component. Thereafter, you can observe the overall improvement of your deep learning system component by component. For photo OCR example, this is what we might have: Component Accuracy Note Overall system 72% Text Detection (TD) 89% Make … Continue reading Ceiling Analysis in Machine Learning?