This small talk will help you get started with one of the most loved machine learning and deep learning framework ( according to StackOverflow Developer Survey 2018 ) TensorFlow. The talk will give you the deep understanding of important deep neurnal network topics. And also show you full step by step process of writing your first machine learning model.
About
Some of the important topics covered in the talk will be:
Neural Network
Tensorflow API
Eager Execution
Save and Restore Graph Model
Activation Functions
Keras API
Regression and Classification Models
Exploratory Data analysis
Pre-requisites
A bit of experience with Python, Pandas and Jupyter Notebook is sufficient.
Good to have Acaconda ( Jupyter Notebook ) setup with libraries like ( Tensorflow, Pandas, Numpy, Matplolib, Scikit-Learn )
Get Started With TensorFlow
Type
Abstract
This small talk will help you get started with one of the most loved machine learning and deep learning framework ( according to StackOverflow Developer Survey 2018 ) TensorFlow. The talk will give you the deep understanding of important deep neurnal network topics. And also show you full step by step process of writing your first machine learning model.
About
Some of the important topics covered in the talk will be:
Pre-requisites
A bit of experience with Python, Pandas and Jupyter Notebook is sufficient.
Good to have Acaconda ( Jupyter Notebook ) setup with libraries like ( Tensorflow, Pandas, Numpy, Matplolib, Scikit-Learn )
Expected duration
1 - 2 hr
Level
Beginner
Resources
Machine Learning Crach Course
Speaker Bio
Loved to write code for social good.
Social Links to your profile
- Can be done after the talk/workshop -
Github
LinkedIn
Twitter
Month Next Week of Jan 2019