this repo contains my learning journey of PyTorch Programming
-
Updated
Jan 25, 2023 - Jupyter Notebook
this repo contains my learning journey of PyTorch Programming
A Logistic Regression model which predicts and differentiates the diabetic patients from the given Pima Indians Diabetes Database dataset. Hyper parameter tuning is implemented using Tensorflow board visualizations.
CartPole environment using Stable BaseLines library
In this project, autonomous driving of a car around a cicular track is achieved using Deep Learning. Car driving skill and nature of human(s) is recorded and a network is trained to clone this behavior. The car then uses predictions fron the trained network to drive autonomously.
Create Convolutional Neural Network from scratch with potato disease classification. App will allow farmers to snap a picture of a plant and determine whether the plant has a disease or not.
Encoder-Decoder Transformer with cross-attention
Word and Position Embedding visualization of all pre-trained transformer models like BERT
Domain: Computer Vision | Deep Learning
This works is an analysis of the feature space and comparison of the discriminative capability of features obtained from Autoencoders .In Deep learning literature these problems statements are called representation learning and through this work MNIST feature space and it's intricacies are visualized .
Embeddings projector using Sentence-Transformers and Tensorboard
A performance comparison of sentiment analysis between pre-trained NLP models and visualization them in TensorBoard . Fine tuning some model to for more accurate prediction.
Tensorboard_Visualization_Graph_Freeze
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
A simple Jupyter notebook to visualize the results of RL experiments stored in Tensorboard log files with Matplotlib.
KAG CTF EU 3 2017-2018 word embeddings
This is the code for "predict MNIST datasets using pure Tensorflow and Keras, a shallow learning model" By M.Junaid Fiaz
Visualize Image Embeddings on Tensorboard
Predict whether a DonorsChoose.org project proposal submitted by a teacher will be approved.
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%.
Add a description, image, and links to the tensorboard-visualizations topic page so that developers can more easily learn about it.
To associate your repository with the tensorboard-visualizations topic, visit your repo's landing page and select "manage topics."