Keras Development Services
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TOP5 Keras Programmers in February 2018
1 Vitalii P.,Age: 24, E-mail: firstname.lastname@example.org,
Skills: Python, SQL, Python (Keras)
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2 Yaroslav S.,Age: 23, E-mail: email@example.com,
Skills: Python, MS (.NET), Python (Keras)
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3 Dmitry B.,Age: 31, E-mail: firstname.lastname@example.org,
Skills: Java, C++, Python (Keras)
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4 Yaroslav N.,Age: 27, E-mail: email@example.com,
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5 Michael G.,Age: 26, E-mail: firstname.lastname@example.org,
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Questions and Answers related to Keras Development
“The validation split variable in Keras is a value between [0..1]. Keras proportionally split your training set by the value of the variable. The first set is used for training and the 2nd set for validation after each epoch. This is a nice helper add-on by Keras, and most other Keras examples you have seen the training and test set was passed into the fit method, after you have manually made the split…”
“Keras requires a tensorflow/theano/cntk backend. Knowing the backend in depth is also essential to debugging and understanding deep learning models. The latest tensorflow course at Udemy covers tensorflow and works its way upto the high level abstractions like Keras and Tflearn – Tensorflow for Practitioners (latest) – Udemy. This lays a solid foundation to anyone aspiring to become a deep learning expert…”
“Keras and TensorFlow work together hand-in-hand and there is a clear path from Keras model definitions to pure TensorFlow tensors in production. Keras layers and models are fully compatible with pure-TensorFlow tensors, and as a result, Keras makes a great model definition add-on for TensorFlow, and can even be used alongside other TensorFlow libraries. What this means is that we can fine-tune and train our models using Keras and run in a pure TensorFlow back-end in production.”
“TF is not a single thing. There is a base library for defining and executing computation graphs. That is the low level library. Officially Keras is offered as one of several higher level APIs that simplify building and executing DL related graphs on TF itself or separately. So TF and Keras cannot be directly compared. In general you can just import the TF backend while using Keras and you have all of TF but that is actually using TF not Keras API.”
Consider asking some of these questions during a job interview to assess candidate’s skills.