Clustering-: What is Clustering , use of clustering , types of clustering , Implemented basics of KMeans Clustering
Completed implementation of clustering
Studied Neural Network , Various Activation Funcitons , basic use of Tensorflow in **ipynb**
Applied Deep learning algo with the help of Tensorflow on MNIST images
Learnt Convolution Neural Network , implementation of this with the help of TensorFlow
Today i applied all the concepts of CNN on MNIST dataset using TensorFlow
and decide the different units in convolution layer and hidden layer
I studied the concept of Recurrent Neural Network and prepare the data from airline dataset
and implement it using keras
KNN -: I studied KNN and implemented it on Iris Plants data set to predict different type of Plants and tried on different distance finding mehod like Euclidian and manhattan distance and set the tweak the different value of K neigbours and at the end i was able to find 100% testing score
Few days ago i studied RNN .....which has some limitations on its Back Propagation which leads to decrease the accuracy of our model
so i started study of LSTM
Using concepts learnt above,... i implmented a Text Generator Using LSTM and trained this on Philosophy of Friedrich nietzsche
and see how to error is decresing you can see its code in ipynb files