Title TensorFlow + Swift + OpenAI's Unsupervised Sentiment Neuron, KubeFlow, TFX, Kubernetes, Kafka, Airflow, Jupyter, Scikit Agenda 1. TensorFlow + Swift + OpenAI's Unsupervised Sentiment Neuron (45 mins) Speaker: Tanmay Bakshi (https://www.linkedin.com/in/tanmay-bakshi-b15012a1) (More details coming soon...) 2. KubeFlow, TFX, Kubernetes, Kafka, Airflow, Jupyter, Scikit, GPU/TPU, Kafka, Scikit-Learn and JupyterLab (15 mins) (More details coming soon...) ** RSVP & LOGIN HERE ** Eventbrite: https://www.eventbrite.com/e/1-hr-free-pipelineai-gpu-tpu-spark-tensorflow-kubernetes-kafka-scikit-tickets-45852865154 Meetup: https://www.meetup.com/Advanced-Spark-and-TensorFlow-Meetup/events/kczhrpyxhbcc/ Zoom: https://zoom.us/j/690414331 Webinar ID: 690 414 331 Phone: +1 646 558 8656 (US Toll) or +1 408 638 0968 (US Toll) Related Links PipelineAI Home: https://pipeline.ai PipelineAI Community Edition: http://community.pipeline.ai PipelineAI GitHub: https://github.com/PipelineAI/pipeline Advanced Spark and TensorFlow Meetup (SF-based, Global Reach): https://www.meetup.com/Advanced-Spark-and-TensorFlow-Meetup YouTube Videos: https://youtube.pipeline.ai SlideShare Presentations: https://slideshare.pipeline.ai Slack Support: https://joinslack.pipeline.ai Web Support and Knowledge Base: https://support.pipeline.ai Email Support: help@pipeline.ai

1. Tanmay Bakshi
TED Speaker, Author, Algorithm-ist
Swift for TensorFlow

4. First-class compiler support
for Machine Learning

5. Native Automatic Differentiation

6. 1
1 + 𝑒$%
𝑤1 = 1
𝑤3 = 𝑤1 ⋅
−𝑤2
𝑤3,
𝑤5 = 𝑤3
𝑤7 = 𝑤5 ⋅ 𝑤5 ⋅ ln 𝑤6
𝑤8 = −𝑤7

7. Many-Language problem

8. C++Python
Other

9. Swift
PythonDockerfile

10. Julia
Other

11. Why change?

12. Performance & optimizations
Flexibility & Control
Rapid Prototyping
Interoperability & reverse-compatibility
Gentle learning curve

13. TensorFlow is fundamentally not Pythonic.
But we’re trying!

14. import as
10 8
3 3
10
def
return
for in 1 10000
with as
-0.1
print

15. import
var ref Float 10 8
var guess Float 3 3
var distance Float 10
func error Tensor Float Tensor Float Tensor Float
Tensor Float
let
return
for _ in 1 10000
let Tensor Float in
return
-0.1
Optimized for you.

17. It’s all in your hands.

18. Write code naturally,
Swift for TensorFlow takes care of the rest.

19. import
extension Tensor where Scalar TensorFlowFloatingPoint
func squaredError Tensor Scalar Tensor Scalar
return self

20. 1.05x
Circle-edge finding
0.95x
MLPNN Training
Without Compiler Optimizations!

21. Forcibly safe code

22. Interoperability!

23. import
let np "numpy"
let p1 2 -2
let p2 10 8
func norm PythonObject PythonObject
return 2
let ex

24. Code time!

25. @TajyMany
tanmay bakshi
Tanmay Bakshi
TajyMany