ErickDiaz

deep_sea

Smart-Security-Camera

IoT security camera running open-cv for object detection 📹

private-ai

Repo for Udacity's Secure & Private AI course

deep-learning-v2-pytorch

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

unet

unet for image segmentation

Micro-Net-for-Retinal-Layer-Segmentation

Micro-net is a convolution neural network (CNN) based deep learning architecture for segmentation of objects in microscopy images. We are implementing the same architecture for the Retinal Layer Segmentation.

Grokking-Deep-Learning

this repository accompanies my forthcoming book "Grokking Deep Learning"

apis_mellifera_health_kernel

DNC

Differentiable neural computer experiments

UFM_Machine_Learning_class

Repository that holds all material ,course program,examples etc for "Machine learning" class in universidad Francisco Marroquin

smartDrone

Drone for testing CV and Reinforcement Learning

pyparrot

Python interface for Parrot Drones

Detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

ufm_ml_tarea1

bee_detection_tf

I want to detect the approximate number of bees in a beehive

models

Models and examples built with TensorFlow

kaggle_spooky_author_identification

Repo for spooky author identification Kaggle contest

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

style_transfer_tf

dlnd_face_generation

Face Generation In this project, you'll use generative adversarial networks to generate new images of faces.

deep_convolutional_GANs

batch_normalization

Batch Normalization Batch normalization is a technique for improving the performance and stability of neural networks. The idea is to normalize the layer inputs such that they have a mean of zero and variance of one, much like how we standardize the inputs to networks. Batch normalization is necessary to make DCGANs work.

GAN_mnist

Building a GAN

dlnd_autoencoders

These models are used to compress data, as well as image denoising, which will be implementing in this lesson

stanford-tensorflow-tutorials

This repository contains code examples for the course CS 20SI: TensorFlow for Deep Learning Research.

transfer_learning

Transfer Learning Udacity Deep Learning Nanodegree

seq2seq_languaje_translation

Language Translation Project, sequence to sequence model on a dataset of English and French sentences that can translate new sentences from English to French.

seq2seq_tensorflow

Udacity deep learning nanodegree, Sequence to Sequence in TensorFlow

sentiment_rnn

Sentiment Prediction RNN

ML_log_book

A log-book framework for performing maching learning experiments and store execution metrics to perform: model selection, cross validation, hyper parameter tuning and any kind of analytics(and even machine learning on your machine learning)