Can you explain data formats in tensorflow?
Answer / Sarita Ramgari
Data formats in TensorFlow include tensors (multidimensional arrays), tfrecords (compressed binary files that can store any type of tensor data), and csv or other file formats when using the `tf.data` API for input pipelines.
| Is This Answer Correct ? | 0 Yes | 0 No |
Explain the tensorflow and its uses?
Explain few options to load data into tensorflow.
How does tensorflow use python api?
What are the important steps of tensorflow architecture?
How many layers in RNN ? How they mean ?
Where can you run a Tensorflow?
What is sequence-to-sequence model?
What are variables in Tensorflow?
What are the products built using Tensorflow?
What is placeholders in tensorflow ?
What is the lifetime of a variable?
Can I run tensorboard without tensorflow?
AI Algorithms (74)
AI Natural Language Processing (96)
AI Knowledge Representation Reasoning (12)
AI Robotics (183)
AI Computer Vision (13)
AI Neural Networks (66)
AI Fuzzy Logic (31)
AI Games (8)
AI Languages (141)
AI Tools (11)
AI Machine Learning (659)
Data Science (671)
Data Mining (120)
AI Deep Learning (111)
Generative AI (153)
AI Frameworks Libraries (197)
AI Ethics Safety (100)
AI Applications (427)
AI General (197)
AI AllOther (6)