Brief description:
This project is designed to do the practical work in local and colab environment along with tensorflow learning.
Steps to install the project locally:
- Clone the repository:
git clone https://github.com/RashedulAlam/tensorflow-machine-learning
- Navigate to directory
cd tensorflow-machine-learning
This repository can be used to learn and do practical implementations that has been done while doing works with tensorflow library and deep learning literacy.
Deep Learning Fundamentals contains details of basic tensorflow library learning like tensor, tensor operations, dimensions, matrix operations
Linear Regression Learning contains details of learning linear regression using tensorflow and how deep learning can be used for linear regression.
Linear Regression Problem contains details of learning linear regression problem excercise using tensorflow and how deep learning can be used for linear regression.
Classification Learning contains details of learning classification using tensorflow and how deep learning can be used for classification.
Classification Excercise contains details of problem solving of classification problem using tensorflow.
CNN and Computer Vision Learnings contains details of computer vision learning and deep learning CNN architecure.
CNN Multi Class Computer Vision Classification contains how CNN and computer can be used for multi class classification problem using tensor flow library.
Transfer Learning Fine Tuning contains how transfer learning can be fine tuned for custom problem set.
Transfer Learning Scaling contains how scaling can be done on transfer learning.
Feel free to contribute. Clone the repository and when done open a PR request.