This repository provides implementations of fundamental deep learning models using TensorFlow, covering architectures such as Logistic Regression, Multi-Layer Perceptron, Convolutional Neural Networks, LSTM, Restricted Boltzmann Machines, Deep Belief Networks, and various autoencoders. The project aims to mirror the classic Deep Learning Tutorials originally written in Theano, serving as a learning resource for understanding core ML algorithms. It also includes modern CNN architectures like MobileNet and SqueezeNet.