Python & TensorFlow for Building Deep Neural Network

deepak9001


6

Votes

Description:

Tensorflow is a powerful open-source software library for machine learning developed by researchers at Google. This course will cover the fundamentals and contemporary usage of the Tensorflow library for building Deep neural Network. TensorFlow provides a Python API. Through the course, students will use Tensorflow to build models of different complexity, from simple linear regression,logistic regression, Deep Neural Netwok, Convolutional neural network.

Prerequisites:

Knowledge of Numpy, Linear Algebra, Matrix Manipulation

Content URLs:

I will upload the content soon

Speaker Info:

I am Deepak Kumar and did my Engineering in Computer Science and working in Analytics domain from last 3.5 years. I had started my career as Solution Designing in BI and Analytics specific to Manufacturing , Retail and Insurance Domain in Indian Market. I am using python from last 2.5 years for Data Analytics, Predictive and Machine Learning Model Building.

Speaker Links:

https://www.linkedin.com/pulse/common-activation-function-deep-learning-deepak-kumar

https://www.linkedin.com/in/deepak-kumar-2a5a5620

https://www.linkedin.com/pulse/how-banks-use-transnational-customer-data-increase-revenue-kumar

https://www.linkedin.com/pulse/marketing-mix-modeling-analytical-approach-deepak-kumar

Section: Core Python
Type: Workshops
Target Audience: Advanced
Last Updated:

Hi can you please upload the slides for the talk so that your proposal can be reviewed.

Pradhvan Bisht (~cyber_freak)

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