1. Deep Learning Fundamentals Training at GoLogica Technologies Email id: info@gologica.com corporate@gologica.com India : +91 - 82 9696 0414. USA : +1 (646) 586 - 2969. www.gologica.com

2. About Deep Learning Fundamentals Deep learning is a subset of machine learning in Artificial Intelligence (AI) that has networks which are capable of learning unsupervised from data that is unstructured or unlabelled. Also known as Deep Neural Learning or Deep Neural Network. Deep learning is part of a broader family of machine learning methods based on learning data representations, as opposed to task-specific algorithms. Some representations are loosely based on interpretation of information processing and communication patterns. Deep learning architectures such as deep neural networks, deep belief networks and recurrent neural networks have been applied to fields including speech recognition, natural language processing, audio recognition, social network filtering, and machine translation.

3. Introduction to Deep Learning Fundamentals Introduction to Deep Learning Why Deep Learning? What is a neural network? Three reasons to go Deep Your choice of Deep Net An old problem: The Vanishing Gradient Deep Learning Models Restricted Boltzmann Machines Deep Belief Nets Convolutional Networks Recurrent Nets

4. Additional Deep Learning Models Autoencoders Recursive Neural Tensor Nets Deep Learning Use Cases Deep Learning Platforms and Software Libraries What is a Deep Learning Platform? H2O.ai Dato GraphLab What is a Deep Learning Library? Theano Caffe TensorFlow

5. Other Trainings SAP ORACLE SAS Big Data LANGUAGES IBM PEOPLESOFT NETWORK CLOUD COMPUTING TESTING SIEBEL Mobile Applications Microsoft Web Technology Workday Hyperion FUSION Digital Marketing

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