Tensor Flow

Day-1 Tensor Flow -Python Recap

Day-2 Python Recap (for loop in real time)

Day-3 Tensor Flow Python_Recap(while loop in Real Time)

Day-4 Python Numpy React(list,dictionarry and array)

Day-5 Numpy Pandas Recap(EDA,Pandas)

Day-6 EDA(Exploratory Data Analysis)

Day-7 Machine Learning Workflow

Day-8 Introduction to DL_NN_And Difference B/W DL and ML

Day-9 Perceptron Activate Function

Day-10 Defination of tensors rank with shape examples

Day-11 Arithmetic Operations on tensrors,matrix operations,reshape and boardcasting

Day-12 Keras and Sequential API

Day-13 Input Layer,Hidden Layer and Output Layer

DAY14_Activation functions – ReLU, Sigmoid and Softmax_Loss functions – Binary Crossentropy, Categorical Crossentropy, MSE and MAE.

Day-15 Tensor Flow

Day-16 Tensor Flow

DAY17_Simple_Deep_Learning_Program

DAY18_A simple ANN program used for binary classification using the Titanic dataset.

DAY19_A simple ANN program for addition of numbers using data from an Excel file.

DAY20_ANN program for binary classification using the Churn dataset.