TensorFlow is another deep learning framework from Google and, as the name TensorFlow implies, it's derived from the operations which neural networks perform on multidimensional data arrays or tensors! It's literally a flow of tensors.
But first off, why are we going to use a deep learning framework in this book?
- It scales machine learning code: Most of the research into deep learning and machine learning can be applied/attributed because of these deep learning frameworks. They have allowed data scientists to iterate extremely quickly and have made deep learning and other ML algorithms much more accessible to practitioners. Big companies such as Google, Facebook, and so on are using such deep learning frameworks to scale to billions of users.
- It computes gradients: Deep learning frameworks can also compute gradients automatically. If you go...
