Build a Deep Learning Project with Python & PyTorch From Scratch | Hands-on Tutorial

Published: 01 January 1970
on channel: Jovian

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🔗 Resources used
• Notebook created in the workshop: https://jovian.ai/aakashns-6l3/deep-l...
• Guidelines and datasets for deep learning projects: https://jovian.ai/learn/deep-learning...

💻 In this live hands-on workshop, we’ll build a deep learning project from scratch in 2.5 - 3 hours. You can follow along to build your own project. Take our Free Certification Course “Deep Learning with PyTorch: Zero to GANs” to learn the required skills: http://zerotogans.com

Here’s an outline of the workshop:
📄 Find an interesting unstructured dataset online (images, text, audio, etc.)
❓ Identify the type of problem: regression, classification, generative modeling, etc.
🤔 Identify the type of neural network you need: fully connected, convolutional, recurrent, etc.
🛠 Prepare the dataset for training (set up batches, apply augmentations & transforms)
🔃 Define a network architecture and set up a training loop
⚡ Train the model and evaluate its performance using a validation/test set
🧪 Experiment with different network architectures, hyperparameters & regularization techniques
📰 Document and publish your work in a Jupyter notebook or blog post

📒 Datasets from the workshop:
Chest X-Ray Images (Pneumonia) - https://www.kaggle.com/paultimothymoo...
Fruits 360 - https://www.kaggle.com/moltean/fruits
Flowers Recognition - https://www.kaggle.com/alxmamaev/flow...
Malaria Cell Images Dataset - https://www.kaggle.com/iarunava/cell-...
Intel Image Classification - https://www.kaggle.com/puneet6060/int...
Best Artworks of All Time - https://www.kaggle.com/ikarus777/best...
CelebFaces Attributes (CelebA) Dataset - https://www.kaggle.com/jessicali9530/...

Open Datasets - https://github.com/JovianML/opendatasets

⚙ Check out these projects for inspiration:
• Blindness Detection using Image Classification:   / blindness-detection-using-image-classifica...
• Generating New Artworks using GANs:   / generating-art-with-gans
• Bounding Box Prediction using PyTorch: https://towardsdatascience.com/boundi...
• Classifying Environment Audio Recordings:   / classifying-environmental-audio-recordings

👨‍🏫 This workshop is taught by Aakash N S who is the co-founder and CEO of Jovian - a community learning platform for data science & ML. Previously, Aakash has worked as a software engineer (APIs & Data Platforms) at Twitter in Ireland & San Francisco and graduated from the Indian Institute of Technology, Bombay. He’s also an avid blogger, open-source contributor, and online educator.

#DeepLearning #Project #PyTorch #Walkthrough #DataScience
#CNN #ImageClassification #GANs #MachineLearning

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