![Develop, Train and Deploy TensorFlow Models using Google Cloud AI Platform | by MA Raza, Ph.D. | Towards Data Science Develop, Train and Deploy TensorFlow Models using Google Cloud AI Platform | by MA Raza, Ph.D. | Towards Data Science](https://miro.medium.com/v2/resize:fit:1400/1*Qo6uJlj6nYof-C6d2pjobA.png)
Develop, Train and Deploy TensorFlow Models using Google Cloud AI Platform | by MA Raza, Ph.D. | Towards Data Science
![Model Serving: Stream Processing vs. RPC / REST - A Deep Learning Example with TensorFlow and Kafka - DataScienceCentral.com Model Serving: Stream Processing vs. RPC / REST - A Deep Learning Example with TensorFlow and Kafka - DataScienceCentral.com](https://www.datasciencecentral.com/wp-content/uploads/2021/10/Model_Inference_Stream_Processing_vs_Request_Response_with_Apache_Kafka_Streams.png)
Model Serving: Stream Processing vs. RPC / REST - A Deep Learning Example with TensorFlow and Kafka - DataScienceCentral.com
![Google expands machine learning capabilities with TensorFlow 2.0 and updates to its Vision AI portfolio - SD Times Google expands machine learning capabilities with TensorFlow 2.0 and updates to its Vision AI portfolio - SD Times](https://sdtimes.com/wp-content/uploads/2019/10/0_C7GCWYlsMrhUYRYi.png)
Google expands machine learning capabilities with TensorFlow 2.0 and updates to its Vision AI portfolio - SD Times
![Tensorflow Serving with Docker. How to deploy ML models to production. | by Vijay Gupta | Towards Data Science Tensorflow Serving with Docker. How to deploy ML models to production. | by Vijay Gupta | Towards Data Science](https://static.packt-cdn.com/products/9781789139495/graphics/d5853eb7-9d7e-465d-aad2-a69916761ecb.png)
Tensorflow Serving with Docker. How to deploy ML models to production. | by Vijay Gupta | Towards Data Science
![Lightweight yet scalable TensorFlow workflow on Google Cloud | by Mikhail Chrestkha | Towards Data Science Lightweight yet scalable TensorFlow workflow on Google Cloud | by Mikhail Chrestkha | Towards Data Science](https://miro.medium.com/v2/resize:fit:1400/1*0Qzkf0gVtKIBDakB8DIhQg.png)
Lightweight yet scalable TensorFlow workflow on Google Cloud | by Mikhail Chrestkha | Towards Data Science
![Automated Deployment of TensorFlow Models with TensorFlow Serving and GitHub Actions — The TensorFlow Blog Automated Deployment of TensorFlow Models with TensorFlow Serving and GitHub Actions — The TensorFlow Blog](https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEj6g9FPO3ZE-4rsM-yQ4JpMLg4NX4srfqKg8dudM4-gFz27p4eoDmpEIdv3ZVYEydArXWTx9NvdQ-VQ_h_8ZTYEcNyMMd9vc_x_BOy9AAQGTXJL--8JUcAKd4CJseNgV26AYsmnfrCWAPGs0Y5MDjSSVZ5HS5gUI_5Oxe9NzGNI9xNQGwxnICOwMPXS/w1200-h630-p-k-no-nu/Screen-Shot-2022-07-09-at-9-26-47-AM.png)