Introduction to the course
Introduction to the course and environment setup.
Artificial Intelligence is growing ever faster than before and many big players are embracing it to lead the market. This course shapes you well from basics to the advanced level in neural network and Deep learning. If you want to enhance your knowledge in algorithms and take it to next level, this is the course for you.
Introduction to the course and environment setup.
Introduction to Artificial Neural Network and Deep Neural Network, difference between supervised and unsupervised Learning.
Learn to build Neural Network for Binary Classifications, with H2o for Multi-Class Supervised Classification, Multi Class Classification using Neural Network with Caret, implement MLP with Keras.
Learn to implement Simple Deep Neural Network for Binary Classification, DNN with H2o for Multi-Class Supervised Classification, with Keras.
Introduction to Unsupervised Learning, Autoencoders, Anomaly detection, Unsupervised Classification, Keras Autoencoders, Convolutional Neural Network.
6 Cases | 4 Mini-Projects.
Bored of PPT lectures in classroom?? Yeah.. We too.. Come fall in love with our simplified ways of teaching with complete hands-on sessions & real time datasets.
Scared of programming?? Coding, syntax errors, logical errors haunts you?? Fear not. Utilize our free One on One mentorship support with complete guidance.
Tired of hearing the same phrase?? But this is for real. Leverage our strategic tie ups with 22 Data Analytics Companies and 100+ AI and ML start-ups.
