AI and Deep Learning with TensorFlow Training Chennai

Deep Learning training Objectives

Every case study gives you a chance to work on large, real-life business data sets in the advanced Deep learning lab.

• Introduction to Deep Learning technique
• Artificial neural networks in Deep Learning
• Training neural networks with training data
• Convolutional neural networks and its applications
• TensorFlow and Tensor Processing Unit
• Supervised and unsupervised learning methodology
• Machine learning with Python language
• Application of DL in image recognition, NLP and more
• Real world projects in recommender systems and others

Who should take this Deep Learning Training Course?

The Data Science Masters is designed for those who want to launch their careers in Data Science, Machine Learning, Deep Learning, Artificial Intelligence (AI) and Computer Vision.

The role of a Data Scientists requires strong understanding of mathematics and statistics, and technical skills such as R & Python programming, which our faculty will teach you “hands-on” during this course.

The program is designed as such that both experienced and aspiring professionals from any educational background can launch their Data Science careers. Students from earlier batches are from the following background:

• IT professionals
• Developers
• Analytics Managers
• Banking and Finance professionals
• Digital Marketing Professionals
• Supply Chain Professionals
• Business Analysts
• Analysts
• Information Architects

Why should you take this Deep Learning Training Course?

Artificial Intelligence today is taking over each and every industry domain. Machine Learning and especially Deep Learning are the most important aspects of Artificial Intelligence that are being deployed everywhere from search engines to online movie recommendations. Taking the Greens Technologys Deep Learning training can help professionals to build a solid career in a rising technology domain and get the best jobs in top organizations.

Machine learning is one of the fastest-growing and most exciting fields out there, and Deep Learning represents its true bleeding edge. Deep learning is primarily a study of multi-layered neural networks, spanning over a vast range of model architectures. Traditional neural networks relied on shallow nets, composed of one input, one hidden layer and one output layer. Deep-learning networks are distinguished from these ordinary neural networks having more hidden layers, or so-called more depth. These kinds of nets are capable of discovering hidden structures within unlabelled and unstructured data (i.e. images, sound, and text), which constitutes the vast majority of data in the world.

TensorFlow is one of the best libraries to implement Deep Learning. TensorFlow is a software library for numerical computation of mathematical expressional, using data flow graphs. Nodes in the graph represent mathematical operations, while the edges represent the multidimensional data arrays (tensors) that flow between them. It was created by Google and tailored for Machine Learning. In fact, it is being widely used to develop solutions with Deep Learning.