📐 ML Fundamentals

Neural networks, backpropagation, gradient descent — the maths behind AI

ML Fundamentals

Dive into Deep Learning (Study Group): Preliminaries | Session 2

Elvis Saravia Beginner 5y ago

ML Fundamentals

Implement Neural Network In Python | Deep Learning Tutorial 13 (Tensorflow2.0, Keras & Python)

codebasics Beginner 5y ago

ML Fundamentals

TensorFlow Tutorial 8 - Model Subclassing with Keras

Aladdin Persson Intermediate 5y ago

ML Fundamentals

Loss or Cost Function | Deep Learning Tutorial 11 (Tensorflow Tutorial, Keras & Python)

codebasics Beginner 5y ago

ML Fundamentals

Talks # 9: Vladimir Iglovikov; Detecting Masked Faces In The Pandemic World

Abhishek Thakur Beginner 5y ago

ML Fundamentals

Pascal (Not Just Nickel & Dime) - Computerphile

Computerphile Intermediate 5y ago

ML Fundamentals

TensorFlow Tutorial 7 - More in Depth Example on Functional API

Aladdin Persson Beginner 5y ago

ML Fundamentals

I just got access to GitHub's Codespaces and it's amazing!

Abhishek Thakur Beginner 5y ago

ML Fundamentals

Live Project- Web Application - Loan Default Prediction- Masters Thesis

Krish Naik Intermediate 5y ago

ML Fundamentals

The ultimate intro to Graph Neural Networks. Maybe.

AI Coffee Break with Letitia Beginner 5y ago

ML Fundamentals

NVIDIA PhysicsNeMo - Accelerating Scientific & Engineering Simulation Workflows with AI

NVIDIA Developer Beginner 5y ago

ML Fundamentals

Live Interview Of Lakshay For Data Science- Commerce And Statistics Background

Krish Naik Beginner 5y ago

ML Fundamentals

Model Explainability Forum

The TWIML AI Podcast with Sam Charrington Advanced 5y ago

ML Fundamentals

MLOps Meetup #29 / Scaling ML Capabilities in Large Organizations // Bertjan Broeksema & Axel Goblet

MLOps.community Beginner 5y ago

ML Fundamentals

Build a Fine-Tuned Neural Network with TensorFlow's Keras API

deeplizard Intermediate 5y ago

ML Fundamentals

How to use Advanced Google Search to extract Email Ids from Linkedin

1littlecoder Beginner 5y ago

ML Fundamentals

Intro to Digital Cameras

MIT OpenCourseWare Beginner 5y ago

ML Fundamentals

What Cameras Can Do for You… and How They Do It!

MIT OpenCourseWare Intermediate 5y ago

ML Fundamentals

Russ Tedrake: Underactuated Robotics, Control, Dynamics and Touch | Lex Fridman Podcast #114

Lex Fridman Beginner 5y ago

ML Fundamentals

NumPy Crash Course - Complete Tutorial

Patrick Loeber Beginner 5y ago

ML Fundamentals

Can we make better software by using ML and AI techniques? With Chandra Maddila and Chetan Bansal

Microsoft Research Beginner 5y ago

ML Fundamentals

Neural Augmentation for Wireless Communication with Max Welling - #398

The TWIML AI Podcast with Sam Charrington Beginner 5y ago

ML Fundamentals

Dive into Deep Learning (Study Group): Multilayer Perceptrons | Session 4

Elvis Saravia Beginner 5y ago

ML Fundamentals

Are courses enough for a job? | Machine learning engineer livestream Q&A

Daniel Bourke Intermediate 5y ago

ML Fundamentals

Bharath Ramsundar of Deep Forest Sciences — Deep Learning for Molecules and Medicine Discovery

Weights & Biases Beginner 5y ago

ML Fundamentals

Create & Deploy A Deep Learning App - PyTorch Model Deployment With Flask & Heroku

Patrick Loeber Beginner 5y ago

ML Fundamentals

Convolutional Neural Network Predictions with TensorFlow's Keras API

deeplizard Intermediate 5y ago

ML Fundamentals

Reviewing Your Data Science Projects - Episode 14 [Deep Learning Focus]

Ken Jee Beginner 5y ago

ML Fundamentals

Gradient Descent For Neural Network | Deep Learning Tutorial 12 (Tensorflow2.0, Keras & Python)

codebasics Beginner 5y ago

ML Fundamentals

TensorFlow Tutorial 6 - RNNs, GRUs, LSTMs and Bidirectionality

Aladdin Persson Beginner 5y ago

ML Fundamentals

TensorFlow Tutorial 5 - Adding Regularization with L2 and Dropout

Aladdin Persson Beginner 5y ago

ML Fundamentals

TensorFlow Tutorial 4 - Convolutional Neural Networks with Sequential and Functional API

Aladdin Persson Beginner 5y ago

ML Fundamentals

Nvidia Titan RTX Unboxing And Specs And Comparison- Deep Learning

Krish Naik Advanced 5y ago

ML Fundamentals

SWE (Society of Women Engineers)

MIT OpenCourseWare Intermediate 5y ago

ML Fundamentals

Closing Remarks

MIT OpenCourseWare Intermediate 5y ago

ML Fundamentals

Inspiring the Next Generation: Women's Technology Program at MIT

MIT OpenCourseWare Intermediate 5y ago

ML Fundamentals

Instructor Insights: Image Processing Activity

MIT OpenCourseWare Intermediate 5y ago

ML Fundamentals

Welcome to Girls Who Build Cameras, Summer 2016

MIT OpenCourseWare Intermediate 5y ago

ML Fundamentals

Girls Who Build Cameras Promo

MIT OpenCourseWare Intermediate 5y ago

ML Fundamentals

TensorFlow Tutorial 3 - Neural Networks with Sequential and Functional API

Aladdin Persson Beginner 5y ago

ML Fundamentals

Live Data Science Q&A With Krish And Sudhanshu- Give Away ML for Deployment+Internships For Women

Krish Naik Beginner 5y ago

ML Fundamentals

TensorFlow Tutorial 2 - Tensor Basics

Aladdin Persson Beginner 5y ago

ML Fundamentals

TensorFlow Tutorial 1 - Installation and Setup Deep Learning Environment (Anaconda and PyCharm)

Aladdin Persson Beginner 5y ago

ML Fundamentals

Live- Discussion On Cross Validation Techniques And Selection of Machine Learning Algorithms

Krish Naik Beginner 5y ago

ML Fundamentals

Live Transition Story Of Civil Engineer To Data Scientist With 2 Years Gap

Krish Naik Intermediate 5y ago

ML Fundamentals

Step By Step Playlist To Follow To Learn Data Science Through My Channel - Part 2

Krish Naik Beginner 5y ago

ML Fundamentals

Matrix Basics | Deep Learning Tutorial 10 (Tensorflow Tutorial, Keras & Python)

codebasics Beginner 5y ago

ML Fundamentals

Step By Step Playlist To Follow To Learn Data Science Through My Channel Part 1- Must for Everyone

Krish Naik Beginner 5y ago

📚 Coursera Courses Opens on Coursera · Free to audit

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Self-paced

Analyze Financial Risk Using AI, Markets, and Governance

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Deep Learning with Keras and Practical Applications

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Object Localization with TensorFlow

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Self-paced

Chatbots

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Survey of Data Science

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Responsible AI: Applying AI Principles with GC - Français

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Deep Neural Network for Beginners Using Python

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Introduction to Machine Learning in Sports Analytics

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Solve Business Problems with AI and Machine Learning

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Advanced Neural Network Techniques

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Debug Neural Networks: Analyze Training Dynamics

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Deep Learning with PyTorch : Generative Adversarial Network

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Machine Learning for Data Analysis

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Introduction to High-Performance and Parallel Computing

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Building a Machine Learning Ready Organization

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Attention Mechanism

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Evaluate Vision Errors: Identify Failure Patterns

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Deep Learning with R: Build & Predict Neural Networks

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