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TensorFlow Developer Certificate in 2023: Zero to Mastery

Welcome to the GitHub repository for the milestone projects from the TensorFlow Developer Certificate in 2023: Zero to Mastery course! This repository contains projects focused on Computer Vision, Natural Language Processing, and Time Series tasks, all implemented using Google Colab.

Table of Contents

  1. Introduction
  2. Projects
  3. Getting Started
  4. Usage
  5. Contributing
  6. License

Introduction

This repository contains milestone projects completed as part of the TensorFlow Developer Certificate in 2023: Zero to Mastery course. The projects cover various aspects of machine learning, including Computer Vision, Natural Language Processing, and Time Series analysis, all implemented using Google Colab.

Projects

1. Computer Vision

Project 1: Image Classification with Convolutional Neural Networks (CNNs)

  • Implement an image classification model using CNNs.
  • Utilize transfer learning to leverage pre-trained models.
  • Working on the Food101 dataset.
  • Visualization model results with Weights & Biases, scikit-learn

2. Natural Language Processing

Project 2: Text Classification with Recurrent Neural Networks (RNNs)

in progress

3. Time Series

Project 3: Time Series Forecasting with Long Short-Term Memory (LSTM) Networks

in progress

Getting Started

To get started with these projects, make sure you have the following prerequisites:

  • Python installed on your machine.
  • TensorFlow and relevant libraries installed. You can install them using:
pip install tensorflow

Usage

  1. Clone this repository to your local machine or open in Google Colab
git clone https://github.com/dg7s/Deep_learning_tensorflow.git