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1. CIFAR-10-Classifier-Using-TensorFlow_Keras CIFAR-10-Classifier-Using-TensorFlow_Keras Public

   In this notebook, I build a CIFAR-10 CNN classifier using TensorFlow and Keras. I also introduce Data Augmentation to make the model less prone to over-fit and attain overall better generalization …

   Jupyter Notebook

2. Load-PreTrained-CNNs-VGG16-MobileNet-ResNet50-and-InceptionV3-to-predict-Animal-Species Load-PreTrained-CNNs-VGG16-MobileNet-ResNet50-and-InceptionV3-to-predict-Animal-Species Public

   I load pretrained CNNs VGG16, MobileNet, ResNet50, Inception_V3 to predict breeds of cats and dogs. Here I also preprocess the image as per each CNNs requirement using the CNNs preprocess_input mod…

   Jupyter Notebook 1

3. Transfer_Learning-Fine_Tuning_Using_VGG16-ResNet50-MobileNet-Inception_V3 Transfer_Learning-Fine_Tuning_Using_VGG16-ResNet50-MobileNet-Inception_V3 Public

   In this notebook, I use 4 CNNs to train my own classifier to distinguish between Watermelons, Tomato and Pumpkin using Transfer Learning and Fine Tuning along with Data Augmentation.

   Jupyter Notebook 1 1

4. Web_Scraping_-_Vehicle_Price_Prediction Web_Scraping_-_Vehicle_Price_Prediction Public

   In this notebook, I scrape autotrader.co.uk for vehicle data like Price, Mileage, Model Year, Model Name, and Dealer Type to predict vehicle prices on Rolls-Royce vehicles.

   Jupyter Notebook 1

5. FashionMNIST_TensorFlow FashionMNIST_TensorFlow Public

   In this notebook, I build a classification model on the FashionMNIST dataset available in Keras.

   Jupyter Notebook