CNN digit recognizer implemented in Keras Notebook, Kaggle/MNIST (0.995).

Collection of tensorflow notebooks tutorials for implementing some basic Deep Learning architectures.

This repository provides a Colab Notebook that shows how to use Spatial Transformer Networks inside CNNs in Keras.

This notebook implements a neural network using Julia Flux to recognize handwritten digits from MNIST dataset.

Some useful examples of Deep Learning (.ipynb)

This Repository contain an IPython notebook of an example implementation of conditional Deep Convolutional Generative Adversarial Networks or cDCGAN or DC cGAN using Tensorflow.Keras Funtional API.

A Collection of Jupyter Notebooks with Deep Learning Models created using Pytorch for Computer Vision (Image Classification) problems trained on GPU.

Handwriting Detection using Deep Learing with Neural Network, tensorflow, keras and jupyter notebook

A series of documented Jupyter notebooks implementing various neural nets.

A collection of Jupyter notebooks containing various MNIST digit and fashion item classification implementations using fully-connected and convolutional neural networks (CNNs) built with TensorFlow and Keras. 2020.

Implementation of Deep-learning techniques in pytorch

Some coding stuff from various machine learning books

Implementations of deep learning algorithms

Digit recognition neural network

Notebooks containing various tools useful for data science

In the series of Python notebooks I am going to practice solving questions with common data science and machine learning techniques and I am going to share the notebooks here.

Jupyter Notebooks of my Deep Learning Experiments with Tensorflow.

Notebook examples with tensorboard.dev

Files and Notebooks for Kaggle MNIST

Notebooks on PCA(Principal Component Analysis)