TensorFlow

Why use TensorFlow instead of Keras for deep learning?

The question is about TensorFlow .

Answer:
TensorFlow is better than Keras when you need more control, deep customisation, or to handle large models at scale. Keras is easy and quick for simple models, but TensorFlow lets you tweak low-level details and achieve advanced performance. TensorFlow has built-in tools for distributed training, GPU/TPU use, and smooth deployment (such as TensorFlow Serving and Lite). It’s a better choice if you want to optimise, scale, or deeply integrate your AI beyond the basics.

Find your perfect TensorFlow tech match

Maksym is a Data Scientist with four years of experience specializing in machine learning and data analysis. He has developed expertise in deep learning frameworks such as PyTorch and TensorFlow, and proficiently uses librari... Read More

Level
Middle
Availability
40 h/w
Experience
4 yrs.
English
B2

Ruslan is a Data Scientist with a solid background in applying machine learning techniques and data analysis across various sectors, including UAVs, smart cities, and agriculture. Most of his work focuses on computer vision... Read More

Level
Middle
Availability
40 h/w
Experience
4 yrs.
English
B2
Victoriia S.

Victoriia is a skilled Flutter Developer with 4 years of experience in mobile application development. She specializes in frameworks such as Flutter, leveraging JavaScript, DART, and utilizes databases like MySQL and Firebase... Read More

Level
Senior
Availability
20 - 30 h/w
Experience
10 yrs.
English
C1
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