Answer / Pankaj Rana

TensorFlow has several potential drawbacks:n1. Steep Learning Curve: TensorFlow's API can be complex and difficult for beginners to grasp.n2. Resource Intensive: Training deep learning models in TensorFlow requires significant computational resources, which can make it challenging for users with limited hardware.n3. Verbose Code: TensorFlow code can be verbose and difficult to read, especially when compared to other libraries like PyTorch.n4. Not Ideal for Real-Time Applications: Due to its complex architecture, TensorFlow may not be suitable for real-time applications that require quick processing speed.n5. Lack of Community Support for Certain Platforms: While TensorFlow has a large community, support for some platforms can be limited.

How can you implement RNN in Tensorflow ?

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Can I run tensorboard without tensorflow?

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What the difference between rtx 2070 and 2080?

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Which unit gives non-linearity to a neural network?

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What are the variables in tensorflow?

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How useful and reliable bayes’ theorem is according to you in the machine learning context?

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List a few limitations of tensorflow.

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What are Tensorflow servables?

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What is Ragged Tensors ?

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What is Image segmentation ? How can you do in tensorflow ?

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What is a Recurrent Neural Network(RNN)?

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Can we use Tensorflow libraries for NLP ?

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