Books, Presentations, Workshops, Notebook Labs, and Model Zoo for Software Engineers and Data Scientists wanting to learn the TF.Keras Machine Learning framework

Training LeNet, VGG, ResNet, DenseNet on CIFAR10 with PyTorch.

VGG | Resnet | Alexnet | Squeezenet | Densenet | Inception

Jupyter notebook templates for training or fine-tuning on ImageNet using TensorFlow.

Notebook and resources for https://predictiveprogrammer.com/famous-convolutional-neural-network-architectures-1/

A comprehensive analysis of the Fashion MNIST dataset using PyTorch. Covers data preparation, EDA, baseline modeling, and fine-tuning CNNs like ResNet. Includes modular folders for data, notebooks, and results. Features CSV exports, visualizations, metrics comparison, and a requirements.txt for easy setup. Ideal for ML workflow exploration.

Jupyter notebooks of interesting assignments from the TensorFlow: Advanced Techniques Specialization

First implemented the code in Jupyter Notebook and then converted it to a Python application that can be run from the command line