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winter 2024 updates
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taldatech committed Apr 22, 2024
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<h1 align="center">
<br>
<img src="https://raw.githubusercontent.com/taldatech/ee046211-deep-learning/main/assets/nn_gumgum.gif" height="200">
<img src="https://raw.githubusercontent.com/taldatech/ee046211-deep-learning/main/assets/dl_intro_anim.gif" height="200">
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<p align="center">
<a href="https://taldatech.github.io">Tal Daniel</a> •
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The course is given in the Electrical and Computer Engineering Faculty at the Technion (ECE 046211) and covers several topics in deep learning (DL), with emphasis on **supervised** approaches to DL. Please visit our <a href="https://github.com/taldatech/ee046211-deep-learning">GitHub</a> for the specific agenda and topics.

### Spring 2023 Student Projects


<p align="center">
<a href="https://raw.githubusercontent.com/taldatech/ee046211-deep-learning/gh-pages/DL-S23.png"><img src="https://raw.githubusercontent.com/taldatech/ee046211-deep-learning/gh-pages/DL-S23.png" height="300"></a>
<a href="https://raw.githubusercontent.com/taldatech/ee046211-deep-learning/gh-pages/ideogram_sign_06.png"><img src="https://raw.githubusercontent.com/taldatech/ee046211-deep-learning/gh-pages/ideogram_sign_06.png" height="300"></a>
</p>

### Winter 2024 Student Projects


| Project Title | Students | TL;DR | GitHub/YouTube |
|---------------|----------|-------|----------------|
| **Model Compression and LoRA** | [Ido Blayberg](https://www.linkedin.com/in/ido-blayberg/) & [Ohad Amsalem](https://www.linkedin.com/in/oamsalemd/) | We tested the effectiveness of adding LoRA layer to a pre-trained compressed model for image classification task | [GitHub Link](https://github.com/oamsalemd/046211-LoRA-Compression) <br> [YouTube Link](https://www.youtube.com/watch?v=gvKiksnZplI) |
| **Suicidal Prediction Transformer** | Uri Koren & [Daniel Ochana](https://www.linkedin.com/in/daniel-ochana/) | Predicting the need for suicide watch based on text, using transfomers (from scratch, GPT2, ChatGPT) | [GitHub Link](https://github.com/DanielOchana/Suicidal-Prediction-Transformer) <br> [YouTube Link](https://youtu.be/YIyJAnWMfKE) |
| **Facial Emotion Detection Using GAN-generated Emotion Augmentations** | [Reuven Smbatyan](https://www.linkedin.com/in/reuven-smbatyan-08501322a/) & Amit Shalev| Leveraging EmotionGAN to enhance training process by creating emotion augmentations and expanding/balancing our dataset | [GitHub Link](https://github.com/reuvensm/Emotion-Detection-Using-EmotionGAN) |
| **Song Sentiment Analysis** | Zohar Milman & Dor Aviv | Fine-tuning of BERT model for the purposes of song lyrics sentiment analysis using LoRA and hyper-parameter sweep | [GitHub Link](https://github.com/doraviv02/Song_SentimentAnalysis) <br> [YouTube Link](https://youtu.be/E05KV7iCUlo) |
| **Predicting A Song's Popularity Using Mamba** | Itamar Horowitz & Rebecca Azoulay| Implementing a Mamba architecture in order to predict the popularity of a song | [GitHub Link](https://github.com/Itamar-Horowitz/Predicting-A-Song-s-Popularity-Using-Mamba.git) <br> [YouTube Link](https://youtu.be/d8VXnhX3pAo?si=L_BIz5biw9NPi-t4) |
| **DSP in Deep Learning – Morse Code Detector + Decoder** | [Maor Assayag](https://www.linkedin.com/in/maorassayag/) & [Eliraz Kadosh](https://www.linkedin.com/in/eliraz-kadosh/) & [Eliram Amrusi](https://www.linkedin.com/in/eliram-amrusi-11b949258/) | We show that LSTM-RNN decodes Morse code at -5dB SNR with 2% CER, and Faster-RCNN (RESNET) achieves 98% IoU-x accuracy for Morse code detection | [GitHub Link](https://github.com/MaorAssayag/morse-deep-learning-detect-and-decode/tree/main) <br> [YouTube Link](https://www.youtube.com/watch?v=uDLtp_Y9Fo4) |
| **Earthquake Prediction** | Tzvi Tal Noy & Daniel Levi| Forecasting seismic activity, aiding in disaster management and mitigation efforts using RWKV | [GitHub Link](https://github.com/DanielLevi6/046211-Deep-Learning) |
| **Age Estimation from Chest X-ray** | Iggy Segev Gal & Eyal Gilron| Experimenting with different transfer learning methods to estimate the age of a person from his chest Xray image| [GitHub Link](https://github.com/IggySegevGal/What-is-my-age.git) |
| **Sherleaf-Holmes - Plant Species and Disease Type Classifier** | Lee Benyamin & Ben Segal | Exploring different typs of architectures using transfer learning on image classification task - VGG, Alexnet, Resnet, Densenet, ViT + Lora & Dora | [GitHub Link](https://github.com/LeeBenyamin/Sherleaf-Holmes-project) <br> [YouTube Link](https://www.youtube.com/watch?v=lSWoE4roERo) |
| **GPT2-based sEMG Gesture Classifier** | [Yuval Gerzon](https://www.linkedin.com/in/yuval-gerzon-7040821a4/) & [Stav Belyy](https://www.linkedin.com/in/stav-belyy-a274621a6/) | Transfer learning to classify EMG movement, overcoming small amount of labeled data, by training a GPT2 transformer-decoder model| [GitHub Link](https://github.com/stavb2009/GPT2-sEMG-gesture-classifier) |
| **Music Genre Classification with Transformers** | Yuval Hoffman & Roee Hadar| Using Transformers to classify music generes | [GitHub Link](https://github.com/YuvalHoffman/Music-Genre-Classification-using-Transformers) <br> [YouTube Link](https://youtu.be/cD5dvcjTKcI) |
| **ViT vs. CNN for Elephants Classification** | [Ariel Lulinsky](https://www.linkedin.com/in/ariel-lulinsky-b660281b5/) & [Hadar Hai](https://hadar-hai.github.io/) | Evaluating Convolutional Neural Networks (CNN) and Vision Transformers (ViT) for distinguishing between Asian elephants and African elephants| [GitHub Link](https://github.com/hadar-hai/vit-vs-cnn-on-elephants) <br> [YouTube Link](https://youtu.be/OS2zNugIzk8)|
| **Learning to Play 20 Questions** | Yotam Norman & Shir Rotman| Leveraging pre-existing LLM capabilities for training a chatbot to play 20 questions| [GitHub Link](https://github.com/shirotman/DL20Questions) |
| **This Image Does Not Exist... Or Is It?** | Almog Anschel & Ran Elbaz| Using ViTs and Transfer Learning to evaluate if an image is generate by AI or not| [GitHub Link](https://github.com/anschelalmog/fake-image-classfier)|
| **Basketball Action Recognition** | [Tal Dugma](http://www.linkedin.com/in/tal-dugma-ab19ba25a) & Yonatan Ashlag & Yarin Bekor | Real-time recognition of basketball players and their actions on court| [GitHub Link](https://github.com/TalDugma/Basketball-Action-Recognition) <br> [YouTube Link](https://youtu.be/Bv7OPoVjZb4) |
| **Chaotic Time-Series Prediction using RNNs** | [Shaked Leslau](https://www.linkedin.com/in/shaked-leslau/) & [Rishona Daniels](https://www.linkedin.com/in/rishona-daniels/) | Lorenz '63 chaotic time-series prediction using LSTM, GRU, Tranformers, and Reservor computing | [GitHub Link](https://github.com/sLeslau/Time-Series-Prediction-using-RNNs) <br> [YouTube Link](https://youtu.be/NFml4L5OzfQ) |



### Spring 2023 Student Projects


| Project Title | Students | TL;DR | GitHub/YouTube |
|---------------|----------|-------|----------------|
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### Winter 2023 Student Projects

<p align="center">
<a href="https://raw.githubusercontent.com/taldatech/ee046211-deep-learning/gh-pages/DL-W23.png"><img src="https://raw.githubusercontent.com/taldatech/ee046211-deep-learning/gh-pages/DL-W23.png" height="300"></a>
</p>


|Project Title | Students |TL;DR | GitHub/YouTube|
|----------------|---------| ---------| ---------|
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### Winter 2022 Student Projects

<p align="center">
<a href="https://raw.githubusercontent.com/taldatech/ee046211-deep-learning/gh-pages/DL-W22.png"><img src="https://raw.githubusercontent.com/taldatech/ee046211-deep-learning/gh-pages/DL-W22.png" height="300"></a>
</p>


|Project Title | Students |TL;DR | GitHub/YouTube|
|----------------|---------| ---------| ---------|
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