https://github.com/richardwarepam16/be_dl_practicals
Deep Learning Practicals of B.E. SPPU, Computer Engg.
https://github.com/richardwarepam16/be_dl_practicals
cnn-classification cnn-keras cnn-model deep-learning python3 rnn-lstm rnn-tensorflow sppu sppu-2019-pattern sppu-be sppu-computer-engineering
Last synced: 3 months ago
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Deep Learning Practicals of B.E. SPPU, Computer Engg.
- Host: GitHub
- URL: https://github.com/richardwarepam16/be_dl_practicals
- Owner: richardwarepam16
- Created: 2023-05-08T06:53:04.000Z (about 2 years ago)
- Default Branch: master
- Last Pushed: 2023-05-12T10:16:38.000Z (about 2 years ago)
- Last Synced: 2025-01-22T02:23:07.450Z (5 months ago)
- Topics: cnn-classification, cnn-keras, cnn-model, deep-learning, python3, rnn-lstm, rnn-tensorflow, sppu, sppu-2019-pattern, sppu-be, sppu-computer-engineering
- Language: Jupyter Notebook
- Homepage:
- Size: 316 MB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# BE: Deep Learning Practicals (SPPU)
#### Lab 1: Linear regression by using Deep Neural network: Implement Boston housing price prediction problem by Linear regression using Deep Neural network. Use Boston House price predictiondataset.
[Code given by College](https://github.com/richardwarepam16/BE_DL_Practicals/blob/master/lab1.ipynb)
[Click here to view the Jupyter Notebook: My Code](https://github.com/richardwarepam16/BE_DL_Practicals/blob/master/lab1_1.ipynb)
#### Lab 2: Classification using Deep neural network: Binary classification using Deep Neural Networks Example: Classify movie reviews into positive" reviews and "negative" reviews, just based on the text content of the reviews. Use IMDB dataset
[Click here to view the Jupyter Notebook](https://github.com/richardwarepam16/BE_DL_Practicals/blob/master/lab2.ipynb)
#### Lab 3: Convolutional neural network (CNN): Use MNIST Fashion Dataset and create a classifier to classify fashion clothing into categories.
[Code given by College](https://github.com/richardwarepam16/BE_DL_Practicals/blob/master/lab3.ipynb)
[Click here to view the Jupyter Notebook: My Code](https://github.com/richardwarepam16/BE_DL_Practicals/blob/master/lab3_1.ipynb)
#### Lab 4: Recurrent neural network (RNN) Use the Google stock prices dataset and design a time seriesanalysis and prediction system using RNN.
[Click here to view the Jupyter Notebook: My Code](https://github.com/richardwarepam16/BE_DL_Practicals/blob/master/lab4.ipynb)