/deeplearningprojects

These projects are the part of `Tensorflow-in-practice` specializations or MIT 6.S191 course. I have completely done the specializations (with certificates).

Primary LanguageJupyter Notebook

deeplearningprojects

DeepLearning

These projects are the part of Tensorflow-in-practice specializations or MIT 6.S191 course. I have completely done the specializations. Certificates -

  1. Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning
  2. Convolutional Neural Networks in TensorFlow
  3. Natural Language Processing in TensorFlow

Description_of_Projects

1. Predicting Shakespearse'works

Language used - Python
Toolwork for DL - Tensorflow
Model - LSTM

This is a project of Natural Language Processing. In this project, we used work of Shakespearse's sonnet to predict more text. The training data was scrapped by Laurence Moroney and saved as a text file. Firstly, we tokenize the whole text file and then used n-grams to make data usefull. In the model, we used a Biderctional LSTM and a LSTM layer to train. Also, we used dropout to reduce the chances of overfitting. For prediction, we used seed text from Shakespearse's Verily, A new hope.