What is TPU and GPU ? Whey they we need ?
- 1 Answers
- 116 Views
- I also Faced
- E-Mail Answers
Answer / Shiv Prasad Shukla
TPU (Tensor Processing Unit) and GPU (Graphics Processing Unit) are hardware devices specifically designed to accelerate machine learning tasks. TPUs are developed by Google, while GPUs are produced by various manufacturers like NVIDIA, AMD, and Intel. They are needed due to their ability to perform matrix operations more efficiently than CPUs (Central Processing Units). This speed-up is crucial for deep learning models that involve significant amounts of computation, especially during training phases.
| Is This Answer Correct ? | 0 Yes | 0 No |
What is tft?
What is Ragged Tensors ?
What are Tensorflow abstractions?
What are the products built using Tensorflow?
You can do by using tf.one_hot() function?
What is image dashboard in tensorboard?
How useful and reliable bayes’ theorem is according to you in the machine learning context?
What do you know about distribution dashboard in tensorflow?
What is roc curve?
What are the different dashboards in tensorflow?
Explain what if a file is corrupted or missing in a dataset?
How to run tensorflow on hadoop?
-
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)
