TensorFlow supports a lot of programming languages but the TensorFlow library features Python. Our TensorFlow development team is a pro in coding in Python. Thanks to that it’s not a big deal for them to optimize the TensorFlow lib performance, and get models on CPU, GPU, and ASIC going.
Some Features that Can be Implemented With TensorFlow
This concerns the tasks related to the recognition of a human face. The ML model can be trained in a way to take into consideration different angles with occlusions as well as lighting conditions that normally affect standard comparison.
The tasks related to the digitization of text, typed or even handwritten. Successfully used to digitize paper documents, such as filled forms and invoices.
The implementation cases of pattern recognition features are endless: from the data analytics tasks (banking transactions patterns detecting), to industries changing media data processing (satellite images, industrial camera feeds analytics).
Analyses user behavior data or purchase history and compares it to similar users. You can up sales to 30% by implementing personalized recommendations into your business.
The tasks related to the recognition of objects and their types. The ML model is trained on images with the same object in various lightning conditions, different angles and sometimes partially hidden. Great feature for retail (goods recognition) or security (license plate numbers recognition).
Makes edits or creates images from scratch whilst taking into account a complex knowledge base.
This concerns the tasks related to the recognition of a human face. The ML model can be trained in a way to take into consideration different angles with occlusions as well as lighting conditions that normally affect standard comparison.
The tasks related to the digitization of text, typed or even handwritten. Successfully used to digitize paper documents, such as filled forms and invoices.
The implementation cases of pattern recognition features are endless: from the data analytics tasks (banking transactions patterns detecting), to industries changing media data processing (satellite images, industrial camera feeds analytics).
Analyses user behavior data or purchase history and compares it to similar users. You can up sales to 30% by implementing personalized recommendations into your business.
The tasks related to the recognition of objects and their types. The ML model is trained on images with the same object in various lightning conditions, different angles and sometimes partially hidden. Great feature for retail (goods recognition) or security (license plate numbers recognition).
Makes edits or creates images from scratch whilst taking into account a complex knowledge base.
