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DL-Dogs-vs-Cat-Classification-with-CNN-Keras-Project
dl_cnn-dogs-vs-cat-classification-project's Introduction
DL_CNN Cats vs Dogs Classification Project
The Dogs vs. Cats dataset is a common computer vision dataset in which pictures are classified as either including a dog or a cat.
Train set includes 12500 cat-5026 dog images, validation set includes 1219 cat-1071 dog images and test set includes 6897 cat and dogs images together.
Data Sources: Kaggle Cats and Dogs Dataset , microsoft kagglecatsanddogs_5340.zip
DL_CNN Dogs vs Cat Classification Project Student.ipynb Colab
2- EXAMINED ADVANCED DATA AUGMENTATION TECHNIQUES
A. [CPU, GPU] GENERATOR: INGEST DATA and EXPLORE DATA with tf.keras.preprocessing.image.ImageDataGenerator(...)
DL_CNN Dogs vs Cat Classification Project Kaggle-Colab
B. [CPU, GPU] FROM_DIRECTORY: INGEST DATA and EXPLORE DATA with tf.keras.utils.image_dataset_from_directory(...)
DL_CNN Dogs vs Cat Classification Project Kaggle-Colab
C. [CPU, GPU, TPU] TFRecords: INGEST DATA and EXPLORE DATA with SAVE tf.io.TFRecordWriter(...)
DL_CNN Dogs vs Cat Classification Project Kaggle-Colab
Visually Compare Models Performance In a Graph
Dataset GENERATOR Sample Images
A. [CPU, GPU] GENERATOR: INGEST DATA and EXPLORE DATA with tf.keras.preprocessing.image.ImageDataGenerator(...)
B. [CPU, GPU] FROM_DIRECTORY: INGEST DATA and EXPLORE DATA with tf.keras.utils.image_dataset_from_directory(...)
C. [CPU, GPU, TPU] TFRecords: INGEST DATA and EXPLORE DATA with SAVE tf.io.TFRecordWriter(...)
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