What is difference between Tensorflow and Keras ?
Answer / Chaman Lal Singh
TensorFlow is an open-source machine learning framework developed by Google Brain team, which provides a comprehensive ecosystem for research and production of ML models. Keras is a high-level neural networks API written in Python that runs on top of TensorFlow, Theano, or CNTK.
| Is This Answer Correct ? | 0 Yes | 0 No |
How can you implement LSTM network in tensorflow ?
What if a file is corrupted or missing in a dataset?
Can you explain embedding in tensorflow?
What are the different dashboards in tensorflow?
What are pre-trained models available in Tensorflow ?
What is the difference between CNN and RNN?
What the difference between rtx 2070 and 2080?
What are the cons of tensorflow?
How can we create tensors from python objects?
What are operations in Tensorflow?
What is placeholders in tensorflow ?
How k-means clustering is different from knn?
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)