Machine Learning with Python: from Linear Models to Deep Learning

25 reviews

An in-depth introduction to the field of machine learning, from linear models to deep learning and reinforcement learning, through hands-on Python projects. -- Part of the MITx MicroMasters program in Statistics and Data Science.

• edX
• 10-14 hours a week, 15 weeks long
• Self paced
• Free Online Course (Audit)

Convolutional Neural Networks for Visual Recognition (Spring 2017)

5 reviews

This lecture collection is a deep dive into details of the deep learning architectures with a focus on learning end-to-end models for these tasks, particularly image classification.

• YouTube
• 20 hours worth of material
• On-Demand
• Free Online Course

DeepLearning.AI;  Stanford

Neural Networks and Deep Learning

15 reviews

If you want to break into cutting-edge AI, this course will help you do so. Deep learning engineers are highly sought after, and mastering deep learning will give you numerous new career opportunities. Deep learning is also a new "superpower" that will l…

• Coursera
• 25 hours worth of material, 4 weeks long
• 6th Feb, 2023
• Free Online Course (Audit)

Stanford Seminar: HPC Opportunities in Deep Learning - Greg Diamos, Baidu

Syllabus: Introduction. Success this year. Deep speech 2. Deep learning scales. The opportunity for HPC. Workload characteristics. Beware of ignoring work efficiency. Beware of ignoring speed of light. Dense compute. Fast Interconnects. Elastic…

• YouTube
• 1-2 hours worth of material
• On-Demand
• Free Online Course

Stanford Seminar - Deep Learning in Speech Recognition

Syllabus: Introduction. Birth of Artificial Intelligence. Checkers (Arthur Samuel, 1956). ELIZA (Weizenbaum 1966). 2001 Space Odyssey (Stanley Kubrick, 1968). Deep Blue (IBM, 1997). Deep Learning (Hinton, 2006). Jeopardy (IBM, 2011). The imitatio…

• YouTube
• 1-2 hours worth of material
• On-Demand
• Free Online Course

Stanford Seminar - Deep Learning for Medical Diagnoses

Syllabus: Introduction. Traditional Model of Clinical. Diagnostic Procedure with Al. Information Gathering Step. Diagnostic Testing with Al. Machine Learning Framework. Next Paradigm shift?. Arrhythmia detection. Future of continuous monitoring.…

• YouTube
• Less than 1 hour of material
• On-Demand
• Free Online Course

Stanford Seminar - Persistent and Unforgeable Watermarks for DeepNeural Networks

Syllabus: Introduction. DNNS ARE INCREASINGLY POPULAR. DEEP NEURAL NETWORK (DNN). DNNS ARE HARD TO TRAIN. TWO WAYS TO BUY MODELS FROM COMPANIES. IP PROTECTION FOR MODEL OWNER. WATERMARKS ARE WIDELY USED FOR OWNERSHIP PROOF. THREAT MODEL. ATTACKS…

• YouTube
• 1-2 hours worth of material
• On-Demand
• Free Online Course

Stanford CS330: Deep Multi-Task and Meta Learning

Syllabus: Stanford CS330: Multi-Task and Meta-Learning, 2019 | Lecture 1 - Introduction & Overview. Stanford CS330: Multi-Task and Meta-Learning, 2019 | Lecture 2 - Multi-Task & Meta-Learning Basics. Stanford CS330: Multi-Task and Meta-Learning, 2019 | L…

• YouTube
• 18 hours worth of material
• On-Demand
• Free Online Course

Stanford Seminar - Deep Learning for Symbolic Mathematics - Guillaume Lample & Francois Charton

Syllabus: Introduction. Deep learning for symbolic mathematics. Starting point. Basic intuition. The plan. From expressions to trees. Generating data. Symbolic integration (forward approach). Symbolic integration (backward approach). Symbolic in…

• YouTube
• Less than 1 hour of material
• On-Demand
• Free Online Course

MIT 6.S191: Introduction to Deep Learning 2021

2 reviews

Deep Learning is subset of machine learning focused on extracting patterns from data using neural networks and use those patterns to inform the learning tasks. It is all about teaching computers how to learn a task from raw data. The course will start…

• YouTube
• 29 hours worth of material
• On-Demand
• Free Online Course

MIT 16.412J Cognitive Robotics, Spring 2016

1 review

This is an advanced lecture series from MIT 16.412 Cognitive Robotics of Spring 2016, led by MIT students.

• YouTube
• 8 hours worth of material
• On-Demand
• Free Online Course

Deep Learning in Life Sciences - Spring 2021

Learn Deep Learning in Life Sciences with Prof. Manolis Kellis from MIT! In this spring 2021 course, you will learn about AI, ML, machine learning foundations, Convolutional Neural Networks CNNs, Recurrent Neural Networks RNNs, Graph Neural Networks GNNs…

• YouTube
• 31 hours worth of material
• On-Demand
• Free Online Course

MIT Deep Learning in Life Sciences 6.874 Spring 2020

Syllabus: MIT Deep Learning Genomics - Lecture 3 - Convolutional Neural Networks CNNs (Spring 2020).MIT Deep Learning Genomics - Lecture 4 - Recurrent Neural Networks (Spring 2020).MIT Deep Learning Genomics - Lecture 1 - Machine Learning Intro (Spring 2…

• YouTube
• 19 hours worth of material
• On-Demand
• Free Online Course

Introduction to Deep Learning

2 reviews

The goal of this course is to give learners basic understanding of modern neural networks and their applications in computer vision and natural language understanding. The course starts with a recap of linear models and discussion of stochastic optimizat…

• Coursera
• 60 hours worth of material, 5 weeks long
• 6th Feb, 2023
• Free Online Course (Audit)

Deep Learning for Computer Vision

1 review

Computer Vision has become ubiquitous in our society, with applications in search, image understanding, apps, mapping, medicine, drones, and self-driving cars. Core to many of these applications are visual recognition tasks such as image classification a…

• YouTube
• 26 hours worth of material
• On-Demand
• Free Online Course