Building an auto-encoder with tensorflow and keras
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Updated
Oct 24, 2019 - Jupyter Notebook
Building an auto-encoder with tensorflow and keras
Projects Implemented in Tensor-flow | Regression | CNN | RNN | LSTM | GAN|
Use scikit learn, keras and tensor flow for some basic predictions
This is Master's Project Git repository in Computer Vision and Machine Learning aims to share my research and development efforts in this exciting area of study.
DATA-X: m410 - TensorFlow - Shallow Neural Networks; An Introduction to TensorFlow V.2. Tensorflow (TF) is an open-source library used for dataflow, differentiable programming, symbolic math, and machine learning applications such as deep learning neural networks. TF's flexible architecture allows for easy deployment across varied processing pla…
Bank note detection authentication
Implementing Hand Written Digit Recognition using MNIST Datasets with the help of Tensor-Flow. It does the classification with 99% of accuracy without using the fixed number of epochs. It stops training when required level of accuracy is achieved.
Custom dataset object detection using TensorFlow Lite
DeepEfficiency - optimal efficiency inversion in higher dimensions at the LHC [arXiv:1809.06101]
Pytorch | Tensorflow | Keras | Links
A Machine Learning Model which predicts the population of cow's in India.
Deep Learning using Theano, tensor flow, keras in Python. Self Learning with YouTube videos and text books.
keras implementation for Graph Neural Network model. To cite this Original Software Publication: https://www.sciencedirect.com/science/article/pii/S2352711022000486
Contains work done mainly on Neural Networks and Machine Learning as a part of my interest for Data Science. The codes are in python and uses TensorFlow for Deep learning
Create Search Engine Bot on Telegram in Python
Final master's degree project. Machine learning models and techniques
Self-explanatory
Connect four solver using neural networks and tensorflow
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