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This repository hosts my extra works and projects in the field of Machine Learning and deep-learning problems with the **TensorFlow platform**. the repository contains several folders in which each of them is for an specific course(or specialization) or project.
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## Tensorflow Developer
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This folder is for my works(assignments&labs) at TensorFlow Developer Coursera Specialization program and courses which I have taken for that specialization. below is the list of all the specializations and courses with their respective certificates That I have had.
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- Fundamentals of Reinforcement Learning
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## Seeds Dataset Classifier
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This folder is for a classifier for the Seeds dataset from [here](https://archive.ics.uci.edu/ml/datasets/seeds). the data is first preprocessed with standard normalization and then feeded to various architectures of neural networks to see the overfitting effect and learning curves.
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for better understanding of the classfier **Tensorboard** is used to analyze the results of the learning, and other callbacks such as
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early stopping is also used to compile the models. for pre-processing the data *Pandas* library were used.
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This folder is for a classifier for the Seeds dataset from [here](https://archive.ics.uci.edu/ml/datasets/seeds). the data is first preprocessed with standard normalization and then feeded to various architectures of neural networks to see the overfitting effect and learning curves.
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for better understanding of the classfier **Tensorboard** is used to analyze the results of the learning, and other callbacks such as
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early stopping is also used to compile the models. for pre-processing the data _Pandas_ library were used
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