Dhanush123 / cs182
Deep Neural Network course @ UC Berkeley, taken Spring 2019
☆10Updated 2 years ago
Alternatives and similar repositories for cs182:
Users that are interested in cs182 are comparing it to the libraries listed below
- Notes for UC Berkeley's Fall 2021 section of CS 61B☆10Updated 3 years ago
- CS 70 - Discrete Mathematics and Probability Theory - UC Berkeley - Fall 2017☆13Updated 7 years ago
- Project solutions for CS188 Artificial Intelligence course☆11Updated 7 years ago
- Berkeley CS182/282A Designing, Visualizing and Understanding Deep Neural Networks☆83Updated 2 years ago
- Homework for STAT 205A - Berkeley☆11Updated 10 years ago
- Study Material for Berkeley CS Classes (Mostly cheat sheets)☆8Updated 4 years ago
- Projects done as part of an online AI course by UC Berkeley.☆10Updated 8 years ago
- Projects on AI topics like speech recognition, face recognition, and neural machine translation + Projects on engineering my own version …☆42Updated 4 years ago
- Course materials for Stat 154, spring 2018, at UC Berkeley☆27Updated 6 years ago
- My implementation for Berkeley AI Pacman projects No. 1 and No. 2☆15Updated 5 years ago
- Course materials for Stat 154, fall 2017, at UC Berkeley☆16Updated 7 years ago
- Solution to some Pacman projects of Berkeley AI course☆9Updated 6 years ago
- 🌀 Stanford CS 228 - Probabilistic Graphical Models☆75Updated 6 years ago
- 🥚 Stanford CS221: Artificial Intelligence: Principles and Techniques☆73Updated 6 years ago
- This repo contains my journey taking the "Deep Learning Nanodegree" with Udacity!!☆40Updated last year
- Implementation of fundamental concepts and algorithms for reinforcement learning☆15Updated 4 years ago
- Cheatsheet for CS189/289 at UC Berkeley☆16Updated 9 years ago
- Studying notes of ISLR, ESL, and other Machine Learning books. Check a more user friendly version on my personal website https://nancyyan…☆14Updated 4 years ago
- Summer 2019 Public Materials☆6Updated last month
- Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes☆9Updated last month
- Data and code to support "Applied Natural Language Processing" (INFO 256, Fall 2021, UC Berkeley)☆55Updated 2 years ago
- PyTorch Implementations of Coursera's Deep Learning(deeplearning.ai) Specialization☆150Updated 4 years ago
- Assignment code for UC Berkeley CS 188 Artificial Intelligence☆53Updated 5 years ago
- A Berkeley library for probability theory.☆14Updated 2 weeks ago
- ☆37Updated 5 years ago
- Yunhao Cao's Opensourced Study Notes☆14Updated 5 months ago
- Probability - The Science of Uncertainty and Data☆110Updated 6 years ago
- Notes on Deep Learning textbook by Ian Goodfellow, Yoshua Bengio and Aaron Courville☆61Updated 6 years ago
- Jupyter Notebook tutorials for the Technion's CS 236756 course "Introduction to Machine Learning"☆24Updated 3 years ago