'Style Transferring with TensorFlow' by algoscale machinelearning tensorflow
With the latest development and research in artificial intelligence and machine learning, there are many frameworks available online, both paid and free. With the help of these platforms, different algorithms can be created and implemented.
There are different applications and different purposes for using TensorFlow over conventional frameworks and platforms. Most of them are discussed in this article and their comparison is enlisted along with the figurative comparison. This article will provide a gateway for the new researchers in this field who want to pursue their careers in the field of machine learning or AI.
There are different methods to create such images and related algorithms. One of them is GAN . It is a more generalized form but style transfer in TensorFlow keeps the image harmless and just paste the style image on the content image and provide the result as we have already observed in figure 1 shown above.
The most common type of style transfer is Text style transfer or which is very much important in Natural Language
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