#DeepLearning The Repository includes lab experiments of the Deep Learning course, conducted using Tensorflow. The repo contains:

1. Building graphs through tensorflow
2. Using Shallow Neural Network on fashion mnist dataset
3. Using Deep Neural Network on mnist dataset for Handwritten Digit recognition
4. Using Deep Neural Network on fashion mnist dataset
5. Using Dropout Layer in the Deep Neural Nets
6. Using Early Stopping in the Deep Neural Nets
7. GridSearchCV for Hyperparameter Tuning
8. Using DNN for Regression on Boston Housing dataset
9. Using CNN on CIFAR-10 dataset
10. Building a CNN using VGG16 Convolution Base
11. Sentiment Identification using RNN on imdb dataset
12. Trying out the GRU for sentiment identification