Deep learning with TensorFlow

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After learning the Sci-kit learn library, I started to think What, Where,  How should I start learning deep learning which library should go on, I find myself Tensorflow is easy to begin with because TensorFlow is developed by google and they providing a stable and extensive documentation and so on...

While learning Image classification I came to know the power of GPU, Everything comes in colab which is very much handy.

Main thing I learned about deeplearning is You can do anything as long as you can convert into object into Tensors(Array of numbers)

Classification of 101 image of food data image data is done with EfficientnetB0 model using transfer learning. There I, learned the power of Transfer Learning. TensorflowHub providing various Pretrained model, we can use based on our need. 

And there is something called Tensorboard whwere we can the evaluate the various model, we build with deeplearning. I attached the sample image of Tensorboard. 



And there are so many resource in the internet best place to begin with deep learning is Tensorflow documentation, I tend to follow Mr. Daniel Bourke- He is Simply awesome in teaching Machine learning and deeplearning concept.

The first thing is you can't learn every math behind deep learning, learn little by little you will master someday.

You can also check my tensorflow repository here. Next time I come with new concept in tensorflow with detail explanations.

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