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Fundamental Excessive College Arithmetic Fundamental Statistics like Imply, Median and Variance Course Period: 5.5 Hours
Course Teacher: Statinfer Options
Course Covers beneath matters intimately
Fast recap of mannequin constructing and validation Introduction to ANN Hidden Layers in ANN Again Propagation in ANN ANN mannequin constructing on Python TensorFlow Introduction Constructing ANN fashions in TensorFlow Keras Introduction ANN hyper-parameters Regularization in ANN Activation features Studying Fee and Momentum Optimization Algorithms Fundamentals of Deep Studying Pre-requite for the course. It is advisable know fundamentals of python coding It is best to have working expertise on python packages like Pandas, Sk-learn It is advisable have fundamental data on Regression and Logistic Regression You need to know mannequin validation metrics like accuracy, confusion matrix You need to know ideas like over-fitting and under-fitting In easy phrases, Our Machine Studying Made Easy course on Python is the pre-requite.
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Datasets, Code and PPT can be found within the sources part inside the first lecture video of every session. Code has been written and examined with newest and steady model of python and tensor-flow as of Sep2018
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Who this course is for:
Rookies in Machine Studying
Rookies in TensorFlow
Rookies in Deep Studying
Knowledge Science Aspirants
Pc Imaginative and prescient college students
Engineering , Arithmetic and science college students
Knowledge Analysts and Predictive Modelers