Udacity SPAICSF 60 days challenge

-Edx Course :Deep Learning with Python and PyTorch (Deep Learning with Python and PyTorch)[https://courses.edx.org/courses/course-v1:IBM+DL0110EN+3T2018/course/]

Derivatives and dataset Class

• continue thge course of EDX

• Loss, Gradient Descent

• revised lesson about SPAI

• continue the course on EDX
• Neural Network and DeepLearning Course (youtube)

• Binary Classification LINK
• Logistic Regession LINK

• continue the edx Course
• Watched Video on youtube
• implemented sigmoid using python and slope of the cost.

• Learn the math behind loss function and Gradient descent.
• NN

• Stochastic Gradient Descent
• mini-batch Gradient Descent

• bad health

• attended meetup with SG MUMBAI
• Continue the EDX course

• Completed EDX FeedForward Nural Network
• Back Propragation
• activation Function

• revised squared error function
• revised slope of the function
• revised classifaction using linear regession

• Stochastic Gradient Descent
• mini-batch Gradient Descent

• bulid first DL model on banking dataset.

• build a modele on mnist data set , accuracy about 96%