PyTorch for Deep Learning — LSTM for Sequence Data. Time-series data changes with time. In this article, we'll be using PyTorch to analyze time-series data and predict future values using deep learning.

sorry for misspelling network , lol.

All the code files will be available at : https://github.com/ashwinhprasad/PyTorch-For-DeepLearning

Recurrence Neural Network are great for Sequence data and Time Series Data. Long short-term memory is an artificial recurrent neural network architecture used in the field of deep learning. LSTMs and RNNs are used for sequence data and can perform better for timeseries problems.

An LSTM is an advanced version of RNN and LSTM can remember things learnt earlier in the sequence using gates added to a regular RNN. Both LSTM’s and RNN’s working are similar in PyTorch. So, once we coded the Lstm Part, RNNs will also be easier to understand.

In this notebook, we are going to try and predict a sinewave with a Recurrence Neural Network.

Theory for RNNs and LSTMs will not be covered by this post. This is only for pytorch implementation of rnn and lstm.

**Importing the Libraries**

```
#importing the libraries
import numpy as np
import torch
import matplotlib.pyplot as plt
```

**2. Data Pre-processing**

I am creating a sinewave and as I already said, lstm takes sequence inputs.So, The input would be like the following :

**Input : [point 1, point 2, point 3…..,point n] prediction : [point n+1].**

we need many rows like this to create the dataset.

```
#creating the dataset
x = np.arange(1,721,1)
y = np.sin(x*np.pi/180) + np.random.randn(720)*0.05
plt.plot(y)
```

PyTorch for Deep Learning | Data Science | Machine Learning | Python. PyTorch is a library in Python which provides tools to build deep learning models. What python does for programming PyTorch does for deep learning. Python is a very flexible language for programming and just like python, the PyTorch library provides flexible tools for deep learning.

PyTorch is a library in Python which provides tools to build deep learning models. What python does for programming PyTorch does for deep learning.

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