Skip to content
View saadkiet's full-sized avatar

Block or report saadkiet

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don't include any personal information such as legal names or email addresses. Markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse

Pinned Loading

  1. CNN-for-FASHION-MNIST-Project- CNN-for-FASHION-MNIST-Project- Public

    Here i used CNN for Fashion Mnist dataset. The dataset contains 60k images with 10 labels.

    Jupyter Notebook

  2. CNN-FOR-BREAST-CANCER-DETECTION CNN-FOR-BREAST-CANCER-DETECTION Public

    Here I used CNN for Breast Cancer detection.

    Jupyter Notebook

  3. CNN-IMPROVED-CIFAR10-PROJECT- CNN-IMPROVED-CIFAR10-PROJECT- Public

    Here I did Data augmentation to improve model accuracy. Results show significant improvement using Data Augmentation.

    Jupyter Notebook

  4. SPAM-TEXT-MESSAGES-PROJECT- SPAM-TEXT-MESSAGES-PROJECT- Public

    Here, I used LSTM for Spam text detection. The dataset is downloaded from kaggel. The dataset contains messages labeled as 1 for spam and 0 for not spam

    Jupyter Notebook

  5. Transfer-Learning-Using-VGG-on-Cats-vs-Dogs-Image-Dataset-Project- Transfer-Learning-Using-VGG-on-Cats-vs-Dogs-Image-Dataset-Project- Public

    Here I used VGG model trained on imagenet weight on Cats vs Dogs dataset. Dataset was imported from kaggle.

    Jupyter Notebook

  6. RNN-and-LSTM-for-Image-Classifications RNN-and-LSTM-for-Image-Classifications Public

    Here I used LSTM and RNN for image classification. The dataset used is Mnist.

    Jupyter Notebook 3