A gentle introduction to deep neural networks

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Learn intuition behind deep learning and artificial neural network (ANN)Build a strong foundation in Machine Learning with this tutorial. Understanding deep learning technology Understand correlation between deep learning , machine learning and artificial intelligence History of deep learning Deep learning networks A Powerful Skill at Your Fingertips  Learning the fundamentals of deep learning puts a powerful and very useful tool at your fingertips. Jobs in deep learning area are plentiful, and being able to learn deep learning  will give you a strong edge. Deep learning is becoming very popular. Tesla self-driving cars, Alexa, Siri, IBM Deep Blue and Watson are some famous example of deep learning application. Understanding deep learning is vital in information retrieval, image classification and autonomous car driving.   Big companies like Google, Facebook, Microsoft, Air Bn B and Linked In already using deep learning in information retrieval, content ranking, image classification, autonomous car driving and ad targeting in social platforms. They claimed that using deep learning has boosted productivity of entire company significantly. Content and Overview  This course teaches you on how to build deep learning.  You will work along with me step by step to build intuition behind deep learning Understanding deep learning technology Understand correlation between deep learning , machine learning and artificial intelligence History of deep learning Learn neuron, perceptron Learn feed forward network Learn back propagation Deep learning networks (CNN, R-CNN and LSTM)What am I going to get from this course?Learn deep learning from professional trainer from your own desk. Over 10 lectures teaching you deep learning Suitable for beginner programmers and ideal for executives who would like to learn intuition behind deep learning. Visual training method, offering users increased retention and accelerated learning. Breaks even the most complex applications down into simplistic steps.