1 / 6

Tensorflow - An Application in Deep-Learning for Financial Forecasting

Deep Learning is an advanced derivable of machine learning which has earned an overwhelming prospect in finance forecasting. With its growing prevalence, deep learning models will provide a systematic evaluation of the model preprocessing, input data, and model evaluation in banking and finance.

milesed
Download Presentation

Tensorflow - An Application in Deep-Learning for Financial Forecasting

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Tensorflow - An Application in Deep-Learning for Financial Forecasting

  2. Understanding Deep Learning for Finance Deep Learning is an advanced derivable of machine learning which has earned an overwhelming prospect in finance forecasting. With its growing prevalence, deep learning models will provide a systematic evaluation of the model preprocessing, input data, and model evaluation in banking and finance. “In a world where AI and automation are becoming a commonplace, deep expertise will keep you stay ahead of the robots. – Jon Dixon, Co-founder, jmj Cloud

  3. How Deep-AI Fits the Tensorflow Application Originally developed by google brain, Tensorflow makes use of data structures called tensors as its building blocks. Allowing a flexible architecture that it can deploy ML and DL models in CPU, GPU, Distributed machines and Mobile devices Popularly recognized by the nodular pattern learning system and star tool for AI-ML applications

  4. Tensorflow for Time Series Forecasting- A stepwise guide 1 2 3 DEFINE the problem and the outcome DECLUTTER the data to tackle the functions ANALYZEcomponents as per trend and seasonality 4 5 6 MONITORthe forecast performance in real time PREPAREforecast models based on analysis DEPLOYforecast model to check relevance

  5. Why Tensorflow Plays an Important Role in Time-series Forecasting in the FP&A Sector Has integrated tracking-matrix Tensorflow library has an abundant collection of forecasting tools Provides excellent community support

  6. Upkill with With AI-ML and its Applications Course offered by:IIT Mandi and Wiley PG Certification in Applied AI and ML To know more, Visit us at: www.mileseducation.com/ai

More Related