APPLICATION OF SUPERVISED LEARNING
DEEP LEARNING
|
Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
|
Which of the following is a low-level programming library for implementing deep neural networks?
|
|
Tensorflow
|
|
|
Python
|
|
|
Keras
|
|
|
R
|
Explanation:
Detailed explanation-1: -Tensor2Tensor is a library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research. A Python library that includes implementations of TensorFlow optimizers for training machine learning models with differential privacy.
Detailed explanation-2: -From the below diagram, we can see that for CNN architecture training time for PyTorch is significantly higher than TensorFlow on GPU. But, for LSTM architecture, except for “Many things” dataset, training time for PyTorch is significantly lower than TensorFlow on GPU.
There is 1 question to complete.