start-machine-learning VS coursera-deep-learning-specialization

Compare start-machine-learning vs coursera-deep-learning-specialization and see what are their differences.

start-machine-learning

A complete guide to start and improve in machine learning (ML), artificial intelligence (AI) in 2024 without ANY background in the field and stay up-to-date with the latest news and state-of-the-art techniques! (by louisfb01)

coursera-deep-learning-specialization

Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models (by amanchadha)
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start-machine-learning coursera-deep-learning-specialization
45 112
4,115 2,703
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5.8 6.4
20 days ago 22 days ago
Jupyter Notebook
MIT License -
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start-machine-learning

Posts with mentions or reviews of start-machine-learning. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-11-20.

coursera-deep-learning-specialization

Posts with mentions or reviews of coursera-deep-learning-specialization. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing start-machine-learning and coursera-deep-learning-specialization you can also consider the following projects:

PES-2021-Cheat-Table - Cheat Table for eFootball PES 2021

cs231n - Note and Assignments for CS231n: Convolutional Neural Networks for Visual Recognition

learn-monogame.github.io - Documentation to learn MonoGame from the ground up.

stanford-CS229 - Python solutions to the problem sets of Stanford's graduate course on Machine Learning, taught by Prof. Andrew Ng [UnavailableForLegalReasons - Repository access blocked]

yt-channels-DS-AI-ML-CS - A comprehensive list of 180+ YouTube Channels for Data Science, Data Engineering, Machine Learning, Deep learning, Computer Science, programming, software engineering, etc.

deeplearning-notes - Notes for Deep Learning Specialization Courses led by Andrew Ng.

audio-ai-timeline - A timeline of the latest AI models for audio generation, starting in 2023!

Emotion_Detection_CNN_keras - Train and test our algorithm using Convolution Neural Networks and classify emotions in real-time.

nexify.io - Develop your skills with programming courses, explained step by step, to learn by building things.

stanford-cs229 - 🤖 Exercise answers to the problem sets from the 2017 machine learning course cs229 by Andrew Ng at Stanford

human-memory - Course materials for Dartmouth course: Human Memory (PSYC 51.09)

Soevnn - A neural net with a terminal-based testing program.