Shall I start learning sci-kit learn or Tensor flow (deep learning) first ?
I know about deep learning and how it functions using neural network sets.
I'm little bit confused. Which one should I pick up first for long run use in machine learning. Any suggestion??????
It depends on your goals and constraints. If you want to learn about deep learning and can pick your problem to work on, it may not matter very much (just start, you can switch later). On the other hand, if you have a specific problem you need to solve, one or the other library may have better tools and be a better match to that problem. If you are working on a specific platform (Linux vs Windows vs other), that may influence your choice. Whether you want to train deep nets using a CPU, GPU, multiple GPUs, may have an influence on your choice.
I have some experience with TensorFlow, but not with sci-kit learn. With TensorFlow, you can work on either Linux and Windows, for example. You can train with CPU and GPU. TensorFlow is obviously supported by Google and seems to become very popular. Hence there is a large community that can help you out with problems. Again, this is just to describe my experience with TensorFlow and is not a proper comparison (as I have not used sci-kit learn).
Although sci-kit learn is a great ML library, its deep learning functionality is quite limited. They introduced shallow networks quite recently, and to my knowledge do not have convolutional or recurrent networks yet.
If you want some simple solution (sklearn-like interface) I'd suggest keras instead. If you need more flexibility for designing the architecture, you can then go for TensorFlow or Theano.
Scikit-learn: Multi-layer Perceptron and Restricted Boltzmann machines ready to use and fairly easy to play with.
Tensorflow: everything, from scratch or examples from the web.
Do you need MLP and RB on a normal dataset? Then Scikit-learn.
Do you need anything more? Then Tensorflow or one of the many NN framework.
Keras may be an easy way to start with Tensorflow/Theano at a higher level, give it a look!
http://scikit-learn.org/stable/modules/neural_networks_supervised.html
http://scikit-learn.org/stable/modules/neural_networks_unsupervised.html
https://keras.io/
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