60daysofudacity

Udacity SPAICSF 60 days challenge

day1/2 opencv basics reading image, convertion into RGB , resize the image , ploting using matplotplot .....

Day 5

-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

Day 6/7

• continue thge course of EDX

• Loss, Gradient Descent

• revised lesson about SPAI

Day 7/8

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

• Binary Classification LINK
• Logistic Regession LINK

Day 8/9

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

Day 9/10/11

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

Day 11/12

• Stochastic Gradient Descent
• mini-batch Gradient Descent

Day 12/13/14

• bad health

Day 15/16

• attended meetup with SG MUMBAI
• Continue the EDX course

Day 17/18

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

Day 18/19

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

day 20/21

• Stochastic Gradient Descent
• mini-batch Gradient Descent

day 26

• bulid first DL model on banking dataset.

day 27

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