Understanding Image Generation: A Beginner’s Guide to Generative Adversarial Networks
How to train a generative adversarial network (GAN) to generate images ?
How to train a DCGAN ?
How GAN and DCGAN work ?
Streamlit
Image segmentation: Train a U-Net model to segment brain tumors
brain tumor segmentation tutorial with BraTS2020 dataset and U-Net
How to build a Speech-To-Text Application with Python (3/3)
A tutorial to create and build your own Speech-To-Text Application with Python. At the end of this third article, your Speech-To-Text Application will offer many new features such as speaker differentiation, summarization, video subtitles generation, audio trimming, and others! Final code of the app is available in our dedicated GitHub repository. Overview of our final …
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How to build a Speech-To-Text Application with Python (2/3)
A tutorial to create and build your own Speech-To-Text Application with Python. At the end of this second article, your Speech-To-Text application will be more interactive and visually better. Indeed, we are going to center our titles and justify our transcript. We will also add some useful buttons (to download the transcript, to play with …
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How to build a Speech-To-Text application with Python (1/3)
A tutorial to create and build your own Speech-To-Text application with Python. At the end of this first article, your Speech-To-Text application will be able to receive an audio recording and will generate its transcript! Final code of the app is available in our dedicated GitHub repository. Overview of our final app Overview of our …
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Deploy a custom Docker image for Data Science project – Streamlit app for EDA and interactive prediction (Part 2)
A guide to deploy a custom Docker image for a Streamlit app with AI Deploy. Welcome to the second article concerning custom Docker image deployment. If you haven’t read the previous one, you can read it on the following link. It was about Gradio and sketch recognition. When creating code for a Data Science project, …