How long will it take to learn TensorFlow?
Just start learning it.
after 1 or 2 days, you will be good enough to train your own classifier with CNN, using Regularization techniques.
Keras as part of tf 2 is pretty easy and can be learned within a week..
What should I learn for TensorFlow?
To learn this course one needs to have enough knowledge in Python and its libraries such as NumPy, Matplotlib, Jupyter, and TensorFlow. Also, this course requires Python 3.5 or Python 3.6. Click here to learn.
Which is easier to learn PyTorch or TensorFlow?
Finally, Tensorflow is much better for production models and scalability. It was built to be production ready. Whereas, PyTorch is easier to learn and lighter to work with, and hence, is relatively better for passion projects and building rapid prototypes.
Is TensorFlow difficult?
For researchers, Tensorflow is hard to learn and hard to use. Research is all about flexibility, and lack of flexibility is baked into Tensorflow at a deep level.
Is PyTorch better than TensorFlow?
PyTorch has long been the preferred deep-learning library for researchers, while TensorFlow is much more widely used in production. PyTorch’s ease of use combined with the default eager execution mode for easier debugging predestines it to be used for fast, hacky solutions and smaller-scale models.
Is TensorFlow easy to learn?
TensorFlow makes it easy for beginners and experts to create machine learning models for desktop, mobile, web, and cloud.