Google

Google Cloud ML Engine

4.5 / 5 14 reviews


Average Ratings

14 Reviews
  • 4.5 / 5
    Overall
  • 4 / 5
    Ease of Use
  • 4.5 / 5
    Customer Service

Product Details

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About Google Cloud ML Engine

Managed service for creating ML solutions. Provides ML model building and training, predictive analytics, and deep learning.


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Google Cloud ML Engine Features

  • Deep Learning
  • ML Algorithm Library
  • Model Training
  • NLP
  • Predictive Modeling
  • Statistical / Mathematical Tools
  • Templates
  • Visualization

Google Cloud ML Engine Reviews Recently Reviewed!


A powerful high-level machine learning library!

Apr 19, 2018
5/5
Overall
5 / 5
Ease of Use
5 / 5
Features & Functionality
5 / 5
Customer Support
5 / 5
Value for Money

Pros: Tensorflow is a high-level machine learning library. I can use it to design neural network structures without writing C++ or CUDA18 code in order to get high efficiency. It supports automatically calculating derivative. Tensorflow is implemented with C++ and it uses C++ to simplify online deployment. In addition to C++ interface, it also provides us with Python, Java and Go interfaces.

Cons: Although Python is very powerful and easy to use, using Python with TensorFlow will still cause some efficiency problems. For example, every mini-batch needs to be fed from Python to the network. During this process, when the data size of mini-batch is small or calculation time of is short, it will cause long latency.

Google Cloud ML Engine is easy to use and the API is best.

Apr 18, 2018
5/5
Overall
5 / 5
Ease of Use
5 / 5
Features & Functionality
5 / 5
Customer Support
5 / 5
Value for Money
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Pros: I like the amount of storage you receive to store finished training modules.
I also like the guidance given throughout the wizards to help ensure your finished product is awesome.
Very easy to sign up and use.

Cons: Time consuming.
Security implications of hosting critical enterprise applications on a public cloud.
Big learning curve.

Nice ML engine

Apr 12, 2018
4/5
Overall
1 / 5
Ease of Use
4 / 5
Features & Functionality
Likelihood to Recommend: 7.0/10 Not
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Pros: Very, very fast - you are able to use GPU implementation of some layers of Keras on TensorFlow, it is easy to use with Theano

Cons: Very hard to start, it will be great to have much more tutorials. And it will be usefeull to have some more trainings available.

Rapid prototyping of neural network models which is a great learning resource for students

Mar 29, 2018
5/5
Overall
4 / 5
Ease of Use
4 / 5
Features & Functionality
4 / 5
Customer Support
5 / 5
Value for Money
Likelihood to Recommend: 9.0/10 Not
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Pros: Has rich resources to support and help in learning the nuances of Neural Networks and Deep Learning and helps in rapid initial prototyping

Cons: Has a steep initial learning curve and is not high level programming system like Pytorch. Would require more effort in defining the the different modules of the project.

Overall: Rich community support and learning resources.

Good Features and Learning

Mar 16, 2018
4/5
Overall
4 / 5
Ease of Use
4 / 5
Features & Functionality
4 / 5
Customer Support
4 / 5
Value for Money

Pros: They have visually appealing components. Support from google is best feature that tensorflow have. It supports wide varierty range of operations.

Cons: current open source implementation does not support distributed computaion and windows support is not present. In future update more guide for new users should be added.

Open source and Well Maintained

Mar 16, 2018
4/5
Overall
3 / 5
Ease of Use
4 / 5
Features & Functionality
4 / 5
Customer Support
4 / 5
Value for Money

Pros: Rapid deployment, models can be deployed easily. It is well maintained and keep updating.It is open source and community support is good

Cons: Control flow operations and loop functions are missing. Windows support is not there.Distributed training is not supported.

Deep Learning Musthave

Mar 16, 2018
4/5
Overall
3 / 5
Ease of Use
4 / 5
Features & Functionality
4 / 5
Customer Support
4 / 5
Value for Money

Pros: useful for debugging complicated computational graphs when combined with subgraph execution. Can run and train deep neural networks

Cons: would be better if released with RPC and distributed implementation. Latest version were not good in performance category. Time to deployment is very much

The most advanced ML platform - accessible to all

Mar 13, 2018
5/5
Overall
5 / 5
Ease of Use
5 / 5
Features & Functionality
5 / 5
Customer Support
5 / 5
Value for Money

Pros: Industry-leading ML tools and algorithms, with top-notch documentation and courses to help even beginners get started easily.

Cons: Could use some more pre-defined templates for common problems, to help with not reinventing the wheel.

If you want to visualize your deep learning , this is the place to visit

Mar 12, 2018
5/5
Overall
5 / 5
Ease of Use
5 / 5
Features & Functionality

Pros: It is essentially the best machine learning and deep learning software. You get to visualize what you are doing with their dashboard visualizer which is basically google analytics for deep learning. I fell in love with Deep learning because of tensorflow.

Cons: I had a little difficulty with setting up the working environment as it acts as a server and shows the visualization in the browsers local host.

Google Cloud ML engine is very helpful for beginners who are learning and working with Tensor Flow.

Mar 08, 2018
4/5
Overall
3 / 5
Ease of Use
4 / 5
Features & Functionality
3 / 5
Customer Support
4 / 5
Value for Money

Pros: * Easy to get started.
* Free subscription for beginners.
* Helps in applying various service provided and get hands-on ML experience.

Cons: * Special service for students can be provided.
* More options can be provided to integrate with existing applications.

Tensorflow is the future of our business, and likely the future of machine learning modeling.

Mar 07, 2018
5/5
Overall
5 / 5
Ease of Use
5 / 5
Features & Functionality
5 / 5
Customer Support
5 / 5
Value for Money
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Pros: Tensorflow is the easiest way to implement machine learning software into your product/business. The repository is colossal and there is an abundance of support within the community alone. Tensorflow is updating regularly and will continue to grow in the years to come.

Cons: Hardware is a common bottleneck in machine learning software. We have built out dedicated computing space just for our tensorflow models and will have to continue to upgrade and expand that space. It's just the nature of the business.

Overall: Tensorflow is the future of machine learning modeling. There is no way around that and we as a company are fortunate to bring this technology to the forefront.

Tensorflow is the one stop solution to all your machine learning needs.

Feb 27, 2018
5/5
Overall
5 / 5
Ease of Use
5 / 5
Features & Functionality
5 / 5
Customer Support
5 / 5
Value for Money

Pros: tensorflow has been frequently updating and improving its api's on a regular basis and has turned into a huge repository of machine learning tools.

Cons: Requires extensive hardware to run effectively and much better integration with third party apps can be provided. Please provide better documentation.

Tensorflow has a rich framework for your machine learning problems.

Feb 16, 2018
4/5
Overall
4 / 5
Ease of Use
4 / 5
Features & Functionality
5 / 5
Customer Support
5 / 5
Value for Money

Pros: The best part about tensorflow is that it is open source software so anyone willing to contribute can easily do

Cons: The framework is a little bit of bloat and can be a little tough to get started with. Apart from that it does well to provide for basic machine learning and deep learning tasks.

It was easy to build machine learning models that can work on any types of data and size.

Jan 13, 2018
4/5
Overall
5 / 5
Ease of Use
4 / 5
Features & Functionality
4 / 5
Customer Support
4 / 5
Value for Money

Pros: 1. Cost Efficient (Pay as you go)
2. Provide easy way for accessing data and manipulating cloud API to automate Scalable operations

Cons: Calls Per request is bit high. Would be happy if they provided more calls in the free version. Rest it's best in class service.