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TensorFlow Lite – Real-Time Computer Vision on Edge Devices (2024)

Viso.ai

As an Edge AI implementation, TensorFlow Lite greatly reduces the barriers to introducing large-scale computer vision with on-device machine learning, making it possible to run machine learning everywhere. About us: At viso.ai, we power the most comprehensive computer vision platform Viso Suite. What is TensorFlow?

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NLPAUG – A Python library to Augment Your Text Data

Analytics Vidhya

Introduction In contrast to Computer Vision, where image data augmentation is common, text data augmentation in NLP is uncommon. Because of the semantically invariant transformation, augmentation has become an important tool in Computer […].

Python 283
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data2vec: A Milestone in Self-Supervised Learning

Unite.AI

To overcome the challenge presented by single modality models & algorithms, Meta AI released the data2vec, an algorithm that uses the same learning methodology for either computer vision , NLP or speech. For computer vision, the model practices block-wise marking strategy.

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Top Artificial Intelligence AI Courses from Google

Marktechpost

Google plays a crucial role in advancing AI by developing cutting-edge technologies and tools like TensorFlow, Vertex AI, and BERT. Transformer Models and BERT Model This course introduces the Transformer architecture and the BERT model, covering components like the self-attention mechanism.

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Learn Generative AI With Google

Unite.AI

Attention Mechanism Image Source Course difficulty: Intermediate-level Completion time: ~ 45 minutes Prerequisites: Knowledge of ML, DL, Natural Language Processing (NLP) , Computer Vision (CV), and Python programming. Covers the different NLP tasks for which a BERT model is used. What will AI enthusiasts learn?

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Researchers from Johns Hopkins and UC Santa Cruz Unveil D-iGPT: A Groundbreaking Advance in Image-Based AI Learning

Marktechpost

Autoregressive pretraining has substantially contributed to computer vision in addition to NLP. In computer vision, autoregressive pretraining was initially successful, but subsequent developments have shown a sharp paradigm change in favor of BERT-style pretraining.

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What’s New in PyTorch 2.0? torch.compile

Flipboard

Project Structure Accelerating Convolutional Neural Networks Parsing Command Line Arguments and Running a Model Evaluating Convolutional Neural Networks Accelerating Vision Transformers Evaluating Vision Transformers Accelerating BERT Evaluating BERT Miscellaneous Summary Citation Information What’s New in PyTorch 2.0?