Data Pipelines with TensorFlow Data Services
TensorFlow: Data and Deployment,
Bringing a machine learning model into the real world involves a lot more than just modeling. This Specialization will teach you how to navigate various deployment scenarios and use data more effectively to train your model. In this third course, you will: - Perform streamlined ETL tasks using TensorFlow Data Services - Load different datasets and custom feature vectors using TensorFlow Hub and TensorFlow Data Services APIs - Create and use pre-built pipelines for generating highly reproducible I/O pipelines for any dataset - Optimize data pipelines that become a bottleneck in the training process - Publish your own datasets to the TensorFlow Hub library and share standardized data with researchers and developers around the world This Specialization builds upon our TensorFlow in Practice Specialization. If you are new to TensorFlow, we recommend that you take the TensorFlow in Practice Specialization first. To develop a deeper, foundational understanding of how neural networks work, we recommend that you take the Deep Learning Specialization.
Get a Reminder
| Rating | 3.0★ based on 10 ratings |
|---|---|
| Length | 5 weeks |
| Effort | 4 weeks of study, 4-5 hours/week |
| Starts | Jun 26 (44 weeks ago) |
| Cost | $49 |
| From | deeplearning.ai via Coursera |
| Instructor | Laurence Moroney |
| Download Videos | On all desktop and mobile devices |
| Language | English |
| Subjects | Programming |
| Tags | Computer Science Software Development Mobile And Web Development |
Get a Reminder
Similar Courses
What people are saying
excercise - moderators do
There is too less help about solving the excercise - moderators do not help.
guys should consider rethinking
If you are expecting something like, How to retrain a large model with large amounts of new data, realtime... that is not the course for you.I love Andrew and Lawrence, but this last specialization is not at the same level from the other 3 from Deeplearning.ai, you guys should consider rethinking it using more Cloud deployment strategies with Tensorflow, like delivering APIs that requests model inference, and retrain automatically, using Google Cloud, Sagemaker, Azure whatever..., integrate it into a MLOps/DevOps model, and delivery at scale, at edge, that is the real world of deployment in my view...
per slide without highlight
However, lectures contain too much information per slide without highlight what the instructor was talking.
maybe just touch ups
Maybe just touch ups, but overall, Mr Laurence Moroney you are a great trainer.
lectures contain too much
dataset creation task
Dataset creation task was more complex for me then all previous before.
machine learning engineers
Excellent course both for Data Scientists and Machine Learning Engineers!
mr laurence moroney
advanced topic related
Tons of poorly explained code and nothing else good,but the last exercise is a bit tricky It's a more advanced topic related to creating datasets which fit into TensorFlow data pipeline.
literally spend days
Which makes it hard to debug the code, you would literally spend days.
or onpremise cluster
I was expecting something like how to handle large amounts of data coming into the cloud, or onpremise cluster, and get it into a retraining pipeline, improving the models... but was completely different...
reference material available
The reference material available, including the support is very limited.
Careers
An overview of related careers and their average salaries in the US. Bars indicate income percentile.
Distance Learning Coordinator/Learning Technologies Specialist $43k
Learning Coach/Mentor $51k
Machine Learning and Data Scientist with Security Clearance $58k
Learning & Development Specialist/HR Global Learning & Development $70k
Global Events Learning Specialist, Learning & Development $70k
Learning Producer $77k
Teichert Pipelines Project Engineer $85k
Financial Analyst, CO2 Supply & Pipelines $92k
Senior Learning Specialist, Learning and Development $102k
Project Cost Estimator, Natural Gas Pipelines $108k
Senior Project Cost Estimator, Natural Gas Pipelines $137k
Americas Marketing Manager - Pipelines $172k
Write a review
Your opinion matters. Tell us what you think.
Please login to leave a review
| Rating | 3.0★ based on 10 ratings |
|---|---|
| Length | 5 weeks |
| Effort | 4 weeks of study, 4-5 hours/week |
| Starts | Jun 26 (44 weeks ago) |
| Cost | $49 |
| From | deeplearning.ai via Coursera |
| Instructor | Laurence Moroney |
| Download Videos | On all desktop and mobile devices |
| Language | English |
| Subjects | Programming |
| Tags | Computer Science Software Development Mobile And Web Development |
Similar Courses
Sorted by relevance
Like this course?
Here's what to do next:
- Save this course for later
- Get more details from the course provider
- Enroll in this course
