TechnoparkToday.com>> Artificial Intelligence and Deep Learning are the most talked about technologies driving the disruptive innovation of the future. The May edition of FAYA:80 provided a stepping stone for the technology enthusiasts to explore AI and its associated concepts. Now it’s the time to take a closer look at Deep Learning to discover the advances in algorithms and methods. Deep learning is revolutionizing artificial intelligence as machines become increasingly more intelligent and are able to recognize and sort objects and understand what they are.
The 49th edition of FAYA:80 lets you take a deep dive into the advancing trends in Deep Learning, their impact to our ecosystem and successful applications in business leading to the creation of next generation products. Get the chance to use Image Recognition as a case study and learn how to implement AI, uncover its best practices & limitations in building intelligent applications.
The session will be equally beneficial for Web and Mobile application Developers, Testers and top level Technical Managers and other technology enthusiasts.
The session will be led by Mr. Manuyash Chaudhary, AI & NLP Developer & Researcher, Accubits Technologies. An MS in Machine Learning & Artificial Intelligence from University College London, Manuyash has been instrumental for path-breaking research on Data Science and its implementation during his career. He is responsible for developing AI technologies and solving machine learning problems for clients at Accubits. He works in Python and R, on platforms like Tensorflow, H2O.ai and tools like SPSS, WEKA and Tableau.
- What is Deep Learning/Neural Networks?
- Relationship b/w Neural Nets and Logistic Regression
- Basic Learning Concepts
- Best Practices & Applications
- Comparison of different Neural Networks – ANN’s vs CNN’s
- Case Study – ImageRecognition
Techbites (Speaker: Arun Unnikrishnan, FAYA)
Deep Learning – A Closer Look (Speaker: Manuyash Chaudhary, Accubits Technologies)
Date & Place
7th June 2017 – 5pm at Floor of madness, FAYA.
Registration is free but seats are limited. Click below link to register online.
Seats are Limited. If you miss to confirm your entry for the event, catch it live on: