A set of notebooks that leverage classical ML algorithms and DL neural nets using TF, Keras and Theano to address a series of issues in the field of conservation and biology.
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Updated
Jul 29, 2020 - Jupyter Notebook
A set of notebooks that leverage classical ML algorithms and DL neural nets using TF, Keras and Theano to address a series of issues in the field of conservation and biology.
This repository consists of sample notebook which can take you through the basic deep learning excersises in Tensorflow and Pytorch
This repository contains a compilation of my Python projects and notebooks focusing on Machine Learning and Deep Learning.
Repository containing TensorFlow tutorial Notebooks
This repository contains mini projects in deep learning with Jupiter notebook files. For each ANN CNN RNN
The notebook to my article in LinkedIn
The basic notebook fot implementing the attention.
Collection of notebooks created while learning about NerualNets
Notebook containing 3 predictive models to forecast stock prices
This is a learning notebook for RNN, LSTM and GRU
Notes and Jupyter notebooks exploring deep learning and Tensorflow framework
In this notebook, I've implement a model that uses an LSTM to generate music.
Learned knowledge and techniques in Natural Language Processing and also related tools: Python, Pytorch, Jupyter Notebook, Google Colab, RNN, CNN, Reinforcement Learning, LSTM, Language Modeling
This repository contains a Jupyter Notebook that compares the performance of Convolutional Neural Network (CNN) and Recurrent Neural Network (RNN) architectures for image classification tasks using the Fashion MNIST dataset. The notebook explores the process of training CNN and RNN models
A ML Notebook to forecast the electrical consumption of the city Haemstead using time series analysis,recurrent Neural Network(RNN).
This repo was made so that I could keep track of my notebooks during the completion of my course.
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