Learn about Complete Life Cycle of a Deep Learning Project. Implement different Neural networks using Tensorflow.
-
Updated
Jun 15, 2024 - Jupyter Notebook
Learn about Complete Life Cycle of a Deep Learning Project. Implement different Neural networks using Tensorflow.
This project involves an exploratory analysis of the capabilities of Recurrent Neural Networks (RNNs) for both classification and regression tasks. We use two distinct datasets: one for a regression problem and the other for a classification problem. The aim is to understand the effectiveness of RNNs in handling sequential data.
DL scratch algorithms
Creating artificial music though LSTM Recurrent Neural Networks
Classifying multimodal health data with LSTMs
RNNs with layer normalization; Prep package for tensorflow/addons, see v0.8.2, and commit https://github.com/tensorflow/addons/commit/cdb43ffd7e4b89d6ce8cdadcd62fec46c7f0f7fa
A project that experiments the performance of different machine learning models and RNN on tweet classification based on whether they are about real disasters or not.
Regular Neural Network and Convolutional Neural Network were applied on Cifar - 10 database, and checked the final results.
Neuromodulated bistable recurrent cell from https://arxiv.org/abs/2006.05252
Deal with unevenly spaced time series using a neural network. RNN (GRU) | Python: keras + tensorboard
Classification, Segmentation, VQA
The project is build to generated music using a Recurrent Neural Dense Network on a kaggle dataset.
Walmart stock price prediction using keras (LSTM and GRU comparison)
Hyperparameters optimization using genetic algorithms
Building an LSTM Recurrent Neural Network for Predicting Stock Market Prices.
Spam SMS filtering using RNN with Keras.
This project will focus on using Natural Language Processing (NLP) techniques to find broad trends in the written thoughts of the customers. The goal in this project is to predict whether customers recommend the product they purchased using the information in their review text. One of the challenges in this project is to extract useful informati…
Predictive maintenance study for Complex case study, we've obtained failure causes by operational error and more deeply by design mistakes.
Add a description, image, and links to the rnn-keras topic page so that developers can more easily learn about it.
To associate your repository with the rnn-keras topic, visit your repo's landing page and select "manage topics."