Deep Learning

Datacast Episode 2: Becoming a Deep Learning Expert with Deep Narain Singh

Datacast Episode 2: Becoming a Deep Learning Expert with Deep Narain Singh

Deep Narain Singh is Data Scientist with specialization in machine learning and deep learning. He has extensive work experience in building NLP/Computer Vision products using AI/ML/DL. He has spent 12 years in industry working with startups and large scale companies. He holds a Master’s degree in Data Science from the University Of New Haven/Galvanize and completed his undergraduate in Civil Engineering from NIT Jaipur.

The 7 NLP Techniques That Will Change How You Communicate in The Future (Part II)

The 7 NLP Techniques That Will Change How You Communicate in The Future (Part II)

From machine translation that connects humans across cultures, to conversational chatbots that help with customer service; from sentiment analysis that deeply understands a human’s mood, to attention mechanisms that can mimic our visual attention, the field of NLP is too expansive to cover completely, so I’d encourage you to explore it further, whether through online courses, blog tutorials, or research papers.

The 7 NLP Techniques That Will Change How You Communicate in The Future (Part I)

The 7 NLP Techniques That Will Change How You Communicate in The Future (Part I)

NLP is certainly one of the most important technologies of the information age. Understanding complex language utterances is also a crucial part of artificial intelligence. Fully understanding and representing the meaning of language is an extremely difficult goal. Why? Because the human language is quite special.

The 5 Computer Vision Techniques That Will Change How You See The World

The 5 Computer Vision Techniques That Will Change How You See The World

Computer Vision is one of the hottest research fields within Deep Learning at the moment. It sits at the intersection of many academic subjects, such as Computer Science (Graphics, Algorithms, Theory, Systems, Architecture), Mathematics (Information Retrieval, Machine Learning), Engineering (Robotics, Speech, NLP, Image Processing), Physics (Optics), Biology (Neuroscience), and Psychology (Cognitive Science).

The 5 Deep Learning Frameworks Every Serious Machine Learner Should Be Familiar With

The 5 Deep Learning Frameworks Every Serious Machine Learner Should Be Familiar With

In this post, I want to introduce to you the 5 frameworks that are the workhorses of deep learning development. They make it easier for data scientists and engineers to build deep learning solutions for complex problems and perform tasks of greater sophistication.

The 8 Neural Network Architectures Machine Learning Researchers Need to Learn

The 8 Neural Network Architectures Machine Learning Researchers Need to Learn

Today, deep neural networks and deep learning achieve outstanding performance on many important problems in computer vision, speech recognition, and natural language processing. They’re being deployed on a large scale by companies such as Google, Microsoft, and Facebook.I hope that this post helps you learn the core concepts of neural networks, including modern techniques for deep learning.

The 10 Deep Learning Methods AI Practitioners Need to Apply

The 10 Deep Learning Methods AI Practitioners Need to Apply

Deep Learning is strongly technique-focused. There are not much concrete explanations for each of the new ideas. Most new ideas came out with experimental results attached to prove that they work. Deep Learning is like playing LEGO. Mastering LEGO is as challenging as any other arts, but getting into it is easier.