Build a Deep Learning Project From Scratch | Hands-on Tutorial
🙋♂️ We’re launching an exclusive part-time career-oriented certification program called the Zero to Data Science Bootcamp with a limited batch of participants. Learn more and enroll here: https://www.jovian.ai/zero-to-data-science-bootcamp
🔗 Resources used
• Notebook created in the workshop: https://jovian.ai/aakashns-6l3/deep-learning-project-live
• Guidelines and datasets for deep learning projects: https://jovian.ai/learn/deep-learning-with-pytorch-zero-to-gans/assignment/course-project
💻 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/paultimothymooney/chest-xray-pneumonia
Fruits 360 - https://www.kaggle.com/moltean/fruits
Flowers Recognition - https://www.kaggle.com/alxmamaev/flowers-recognition
Malaria Cell Images Dataset - https://www.kaggle.com/iarunava/cell-images-for-detecting-malaria
Intel Image Classification - https://www.kaggle.com/puneet6060/intel-image-classification
Best Artworks of All Time - https://www.kaggle.com/ikarus777/best-artworks-of-all-time
CelebFaces Attributes (CelebA) Dataset - https://www.kaggle.com/jessicali9530/celeba-dataset
Open Datasets - https://github.com/JovianML/opendatasets
⚙ Check out these projects for inspiration:
• Blindness Detection using Image Classification: https://medium.com/jovianml/blindness-detection-using-image-classification-5d86d9e47870
• Generating New Artworks using GANs: https://medium.com/jovianml/generating-art-with-gans-352ceef3d51f
• Bounding Box Prediction using PyTorch: https://towardsdatascience.com/bounding-box-prediction-from-scratch-using-pytorch-a8525da51ddc
• Classifying Environment Audio Recordings: https://medium.com/jovianml/classifying-environmental-audio-recordings-9500a2112234
👨🏫 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
-
Learn Data Science the right way at https://www.jovian.ai
Interact with a global community of like-minded learners https://jovian.ai/forum/
Get the latest news and updates on Machine Learning at https://twitter.com/jovianml
Connect with us professionally on https://linkedin.com/company/jovianml
Follow us on Instagram at https://www.instagram.com/jovian.ml/
Join our Telegram community at https://t.me/jovianml
Subscribe for new videos on Artificial Intelligence https://youtube.com/jovianml
🙋♂️ We’re launching an exclusive part-time career-oriented certification program called the Zero to Data Science Bootcamp with a limited batch of participants. Learn more and enroll here: https://www.jovian.ai/zero-to-data-science-bootcamp
🔗 Resources used
• Notebook created in the workshop: https://jovian.ai/aakashns-6l3/deep-learning-project-live
• Guidelines and datasets for deep learning projects: https://jovian.ai/learn/deep-learning-with-pytorch-zero-to-gans/assignment/course-project
💻 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/paultimothymooney/chest-xray-pneumonia
Fruits 360 – https://www.kaggle.com/moltean/fruits
Flowers Recognition – https://www.kaggle.com/alxmamaev/flowers-recognition
Malaria Cell Images Dataset – https://www.kaggle.com/iarunava/cell-images-for-detecting-malaria
Intel Image Classification – https://www.kaggle.com/puneet6060/intel-image-classification
Best Artworks of All Time – https://www.kaggle.com/ikarus777/best-artworks-of-all-time
CelebFaces Attributes (CelebA) Dataset – https://www.kaggle.com/jessicali9530/celeba-dataset
Open Datasets – https://github.com/JovianML/opendatasets
⚙ Check out these projects for inspiration:
• Blindness Detection using Image Classification: https://medium.com/jovianml/blindness-detection-using-image-classification-5d86d9e47870
• Generating New Artworks using GANs: https://medium.com/jovianml/generating-art-with-gans-352ceef3d51f
• Bounding Box Prediction using PyTorch: https://towardsdatascience.com/bounding-box-prediction-from-scratch-using-pytorch-a8525da51ddc
• Classifying Environment Audio Recordings: https://medium.com/jovianml/classifying-environmental-audio-recordings-9500a2112234
👨🏫 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
–
Learn Data Science the right way at https://www.jovian.ai
Interact with a global community of like-minded learners https://jovian.ai/forum/
Get the latest news and updates on Machine Learning at https://twitter.com/jovianml
Connect with us professionally on https://linkedin.com/company/jovianml
Follow us on Instagram at https://www.instagram.com/jovian.ml/
Join our Telegram community at https://t.me/jovianml
Subscribe for new videos on Artificial Intelligence https://youtube.com/jovianml
