Deep Learning Notebooks Implements by TensorFlow, Python + numpy

Tutorial of DeepLearning.scala

深度学习项目

Resources for the Deep Learning study (2018 Winter) with DeepLearningZeroToAll.

My Solutions for the SPRING 2018 Assignments of CS231n: Convolutional Neural Networks for Visual Recognition

Build neural network in pure python

🏃 🌀 A 50 day of Machine Learning Sprint to cover all state of the art problems from various domains

DeepLearning.ai深度学习课程的作业和笔记，包含运行代码所需的全部数据。超大数据集给出下载地址，需要放到正确的路径上才可以运行。

Code resources of the online specialization Deep Learning on Coursera.

PyTorch 1.2 Tutorial

Deeping learning with Python, Tensorflow, Keras

This repository contains the implementation of Self organising maps for fraud detection.

This repository is an import of the original repository that contains some of the models we had tested on the RAVDESS and TESS dataset for our research on Speech Emotion Recognition Models.

This repository documents my experimentation as I explore Computer Vision algorithms and deep learning for computer vision.

Summer 2021 Industry Sponsored Project with GLG and FourthBrain.ai implementing Named Entity recognition, hierarchical topic clustering on the NER corpus dataset

Some of my Machine Learning (SVM, Decision Trees, Random Forest, K Nearest Neighbors, Deep learning aka Neural Network, XGBoost) projects

This repository contains the projects I completed throughout my Data Science bootcamp, which was financed by DataCamp and a 4-month scholarship award.

deeplearning.ai Course Materials

A captcha's vulnerability analysis using deep learning