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An illustration of the proposed SimCLR framework. The CNN and MLP layers are trained simultaneously to yield projections that are similar for augmented versions of the same image, while being dissimilar for different images, even if those images are of the same class of object. The trained model not only does well at identifying different transformations of the same image, but also learns representations of similar concepts (e.g., chairs vs. dogs), which later can be associated with labels through fine-tuning.
#ML #DL #CNN #pytorch #framework
#ML #DL #CNN #pytorch #framework
#torchserve #pytorch #deployment #aws
https://www.youtube.com/watch?v=mYV8nk29m8o&ab_channel=AWSOnlineTechTalks
https://www.youtube.com/watch?v=mYV8nk29m8o&ab_channel=AWSOnlineTechTalks
YouTube
Easily Deploy PyTorch models in Production on AWS with TorchServe - AWS Online Tech Talks
Deploying and managing models in production is often the most difficult part of the machine learning process. Enter model servers, which make it easy to load models and which offer production-critical features like logging, monitoring, and security. In this…
#onnx #tensorflow #PyTorch #inference #production #deploy #deployment
https://thenewstack.io/tutorial-import-an-onnx-model-into-tensorflow-for-inference/
https://thenewstack.io/tutorial-import-an-onnx-model-into-tensorflow-for-inference/
The New Stack
Tutorial: Import an ONNX Model into TensorFlow for Inference
This post is the fourth in a series of introductory tutorials on the Open Neural Network Exchange (ONNX), an initiative from AWS, Microsoft, and Facebook to define a standard for interoperability across machine learning platforms.
#pytorch #onnx #tensorRT #inference #ml_engineering #ml #dl
https://www.learnopencv.com/how-to-run-inference-using-tensorrt-c-api/
https://www.learnopencv.com/how-to-run-inference-using-tensorrt-c-api/
LearnOpenCV – Learn OpenCV, PyTorch, Keras, Tensorflow with code, & tutorials
How To Run Inference Using TensorRT C++ API
In this post, we continue to consider how to speed up inference quickly and painlessly if we already have a trained model in PyTorch. In the previous post We discussed what ONNX and TensorRT are and why they are needed Сonfigured the environment for PyTorch…
#onnx #onnx_runtime #inference #tensorRT #deployment #pytorch #tensorflow #ml #dl #demo #asic #fpga #gpu
https://www.youtube.com/watch?v=cK5AyawZSUI&ab_channel=JanakiramMSV
https://www.youtube.com/watch?v=cK5AyawZSUI&ab_channel=JanakiramMSV
YouTube
Everything You Want to Know About ONNX
Open Neural Network Exchange (ONNX) is an open format built to represent machine learning models. It defines the building blocks of machine learning and deep learning models along with a common file format to enable AI developers to use models with a variety…
#pytorch #openAi #team #business #ml #dl
https://venturebeat.com/2020/01/30/openai-facebook-pytorch-google-tensorflow/
https://venturebeat.com/2020/01/30/openai-facebook-pytorch-google-tensorflow/
VentureBeat
OpenAI goes all-in on Facebook’s Pytorch machine learning framework
OpenAI announced that it will adopt Facebook's PyTorch machine learning development framework in the near future, eschewing Google's TensorFlow.
#kubeflow #airflow #tfx #tensorflow #mlflow #pipeline #pytorch #pipelineai #team #kubernetes #deployment #xgboost #redis #studyjob #tensorboard #mysql #katib #jupyter_notebook #workflow #seldon #tf_job_dashboard #minio #ambassador #argo_ui #istio #vizier
https://www.youtube.com/watch?v=AaBqhGEwxXI&ab_channel=PipelineAI
https://www.youtube.com/watch?v=AaBqhGEwxXI&ab_channel=PipelineAI
YouTube
Hands-on with KubeFlow + Keras/TensorFlow 2.0 + TF Extended (TFX) + Kubernetes + PyTorch + XGBoost
Hands-on Learning with KubeFlow + Keras/TensorFlow 2.0 + TF Extended (TFX) + Kubernetes + PyTorch + XGBoost + Airflow + MLflow + Spark + Jupyter + TPU
RSVP Here: https://www.eventbrite.com/e/full-day-workshop-kubeflow-kerastensorflow-20-tf-extended-tfx-kubernetes…
RSVP Here: https://www.eventbrite.com/e/full-day-workshop-kubeflow-kerastensorflow-20-tf-extended-tfx-kubernetes…
#neptune #team #loss_functions #pytorch #overview #custom_loss_function #custom #loss_function #guide
https://neptune.ai/blog/pytorch-loss-functions
https://neptune.ai/blog/pytorch-loss-functions
neptune.ai
PyTorch Loss Functions: The Ultimate Guide
Learn about PyTorch loss functions: from built-in to custom, covering their implementation and monitoring techniques.
#pytorch #tensorflow #keras #future #chollet #team #chintala #digest #next_3_years #GCT21 #GCT
https://www.youtube.com/watch?v=2trkMj4HCpM&ab_channel=JeffHeaton
https://www.youtube.com/watch?v=2trkMj4HCpM&ab_channel=JeffHeaton
YouTube
PyTorch and Keras TensorFlow for the Next 3 Years, Reflections from GTC 2021
Several presentations at GTC-21 discussed the next 3-5 year direction for PyTorch and Keras/Tensorflow. In this video, I summarize what is ahead for these important frameworks.
Presentations referenced:
François Chollet
Soumith Chintala
https://www.nvidia.com/en…
Presentations referenced:
François Chollet
Soumith Chintala
https://www.nvidia.com/en…
#jax #google #team #tf #pytorch
https://www.businessinsider.com/facebook-pytorch-beat-google-tensorflow-jax-meta-ai-2022-6
#rag #gen_ai #dpr
https://www.deeplearning.ai/the-batch/issue-195/
https://arxiv.org/abs/2209.10063
https://arxiv.org/abs/2004.04906
https://www.businessinsider.com/facebook-pytorch-beat-google-tensorflow-jax-meta-ai-2022-6
#rag #gen_ai #dpr
https://www.deeplearning.ai/the-batch/issue-195/
https://arxiv.org/abs/2209.10063
https://arxiv.org/abs/2004.04906
Business Insider
Google is quietly replacing the backbone of its AI product strategy after its last big push for dominance got overshadowed by Meta
Google is pushing a new project to replace TensorFlow. But it will be a major challenge to unseat Meta's PyTorch, which has won over developers.