this is the open source technology by google tor machine learning

1. TensorFlow
Technology
By Narayan Dudhe

2. Agenda
1. What is TensorFlow?
2. How to install on windows?
3. Why would you use it?
4. How does it works?
5. Who will use it?

3. Versions of TensorFlow

4. What is Tensorflow?
• Python-based neural network framework
• Google open source project on Github
• Released November 2015
• Runs highly optimized C++ code for actual calculations
• Higher level APIs on top of tensorflow available, like skflow to fit
within the Scikit Learn API
• TensorFlow provides primitives for defining functions on tensors
and automatically computing their derivatives.
• opensource

5. Tensor?
Simply put: Tensors can be viewed as a
multidimensional array of numbers.
This means that:
● A scalar is a tensor,
● A vector is a tensor,
● A matrix is a tensor

6. Data Flow Graph?
● Computations are represented as
graphs:
● Nodes are the operations (ops)
● Edges are the Tensors
(multidimensional arrays)

7. Installation on windows
● Download Anaconda
● Create an environment with all must-have libraries.
$ conda create -n tensorflow python=3.5
$ activate tensorflow
$ conda install pandas matplotlib jupyter notebook scipy scikit
$ pip install tensorflow

8. Why would you use NN?
Neural Networks (NNs) are universal function approximators
that work very well with huge datasets
● NNs / deep networks do unsupervised feature learning
● Track record, being SotA in:
○ image classification,
○ language processing,
○ speech recognition,

9. Neural Machine Translation
Neural Machine Translation

10. Recurrent Neural Networks for Drawing
Classification

11. Image Recognition

12. Advantage of TensorFlow
- Cross platform - android ,linux, etc
- Quick turn around to production
- Effiient computaion utlizing cpu, gpu
- Neural Machine Translation
- Image Recognition

13. What is a Convolutional Neural
Network?

14. Companies using Tensorflow
● Google
● OpenAI
● DeepMind
● Snapchat
● Uber
● Airbus
● eBay
● Dropbox

15. Thank you