Google's TPU's being primed for the Quantum Jump

Floq allows developers to harness TPUs to simulate quantum computing workloads primed for the Quantum Jump

Scalable Machine Learning with Tensorflow 2.X

Large scale ML training on single or multiple machines with no code change using Tensorflow 2.X features

Machine Learning Inferencing through Coral USB Accelerator

TPU — Tensor Processing Unit is an ASIC AI accelerator used for machine learning tasks specifically developed using Tensorflow. Edge TPU is designed and released in early 2019 and used in ML Inference acceleration use cases at the Edge. One such Edge TPU device is Coral USB Accelerator.

CPU / GPU/ TPU — ML perspective

As a Machine learning Enthusiast who has been trying to improvise performance of the learning models, We all have been at a point where the…

FastAI With TPU In PyTorch For Multiclass Image Classification

FastAI With TPU In PyTorch For Multiclass Image Classification - How to develop a deep learning model for computer vision suing fastAI

FastAI With TPU In PyTorch For Multiclass Image Classification

FastAI With TPU In PyTorch For Multiclass Image Classification - How to develop a deep learning model for computer vision suing fastAI

How to Use TPUs on Google Colab with Keras

Today I was brushing up on an old NLP course on sentiment classification when I felt the urge to try it on some large dataset. I had a great time - and I also got to see how fabulously fast the free TPU on Colab really is.

Hands-On Guide to Implement ResNet50 in PyTorch with TPU

How to Implement Transfer Learning Model in PyTorch on TPU - Hands-On Guide to Implement ResNet50 in PyTorch with TPU - Computer Vision