TensorFlow quiz medium level

Test description

Designed for Machine Learning Engineers/ Data Scientists, this quiz allows you to test your practical knowledge of ML algorithms with applications in the most used AI framework – Google’s Tensorflow.

Topics: Supervised Artificial Neural Networks (CNN, DNN, etc.), commonly used algorithms and techniques in ML (feature encoding techniques, vanishing gradients etc.), Tf.Keras.

Sample questions

1
Which of the following are valid ways to create tensors?

a = tf.Constant([[5.0,2.0],[3.0,4.0]])

a = tf.Constant([7,8,9,12,11,13],shape=[3,2])

a = tf.constant(np.arange(2,14,dtype=np.int32), shape=[2,3,2])

a = Tensor([1,2,3,4,5,6,7])

Results between 1-5 / 20	21.55%
Results between 6-10 / 20	28.45%
Results between 11-15 / 20	45.11%
Results between 16-20 / 20	4.89%
Average results 9 / 20