Multi-digit prediction from Google Street's images using deep CNN with TensorFlow, OpenCV and Python.
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Updated
Oct 11, 2016 - Python
Multi-digit prediction from Google Street's images using deep CNN with TensorFlow, OpenCV and Python.
A simple program on how you can use tensor-board for visualization and how you can freeze your model graph and later use if for testing
U-Net for biomedical image segmentation
Encoder-Decoder Transformer with cross-attention
Visualize data on TensorBoard.
Experimentation & Results of nvidia-modulus-sym implementation using PINNs
Embeddings projector using Sentence-Transformers and Tensorboard
High speed autonomous vehicle navigation and lane change in dense traffic scenario using custom SUMO gym Environment and Reinforcement Learning algorithm
Tensorboard_Visualization_Graph_Freeze
Visualize Image Embeddings on Tensorboard
To test if CAPTCHA secure login security codes are secure from bot attacks I developed a CNN classifier model in Python using TensorFlow to predict the CAPTCHA codes. Predicted over 40,000 CAPTCHA codes with an accuracy above 98%.
Scene Classification using pytorch : Dataset created using frames from youtube videos
Lab to illustrate working with TensorFlow using an Amazon Deep Learning AMI (DLAMI)
logging utility for tensorboard
Create a backend API to handle book information requests, and summary generation.
This project was submitted as a requirement for this course. The course was administered in Spring 2018 in Tel-Aviv University - School of Mathematical Sciences
Homework for the advanced neural networks course
A Pytorch Project with flask API to predict handwritten digits using MNIST Dataset.
An LSTM model to label articles into 5 categories.
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