📐 ML Fundamentals

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

ML Fundamentals

L13.9.3 AlexNet in PyTorch

Sebastian Raschka Beginner 5y ago

ML Fundamentals

L13.9.2 Saving and Loading Models in PyTorch

Sebastian Raschka Beginner 5y ago

ML Fundamentals

Lux - Python Library for Intelligent Visual Discovery

Krish Naik Beginner 5y ago

ML Fundamentals

ProGAN implementation from scratch

Aladdin Persson Beginner 5y ago

ML Fundamentals

Build by Small Pieces // Igor Lushchyk // MLOps Meetup #55 short clip

MLOps.community Beginner 5y ago

ML Fundamentals

Autoencoder In PyTorch - Theory & Implementation

Patrick Loeber Beginner 5y ago

ML Fundamentals

Devops Vs MLOPS- Understand The Differences And Why IT is Important

Krish Naik Beginner 5y ago

ML Fundamentals

Operationalizing Machine Learning at a Large Financial Institution // Daniel Stahl //MLOps Meetup#56

MLOps.community Beginner 5y ago

ML Fundamentals

MARCH MADNESS - Will My Machine Learning Model Beat Your Bracket?

Ken Jee Beginner 5y ago

ML Fundamentals

ProGAN Paper Walkthrough

Aladdin Persson Beginner 5y ago

ML Fundamentals

Learn TensorFlow and Deep Learning fundamentals with Python (code-first introduction) Part 1/2

Daniel Bourke Beginner 5y ago

ML Fundamentals

Me he CAPTURADO en 3D... ¡DENTRO de una Red Neuronal! (y tú también puedes 👀)

Dot CSV Beginner 5y ago

ML Fundamentals

How you SHOULD code Machine Learning

CodeEmporium Beginner 5y ago

ML Fundamentals

Artificial intelligence Or Machine Learning #Shorts

Manish Sharma Beginner 5y ago

ML Fundamentals

Will AI replace network engineers?

David Bombal Beginner 5y ago

ML Fundamentals

Convolutional Autoencoder for Image Denoising - Keras Code Examples

Connor Shorten Beginner 5y ago

ML Fundamentals

Converting words to numbers, Word Embeddings | Deep Learning Tutorial 39 (Tensorflow & Python)

codebasics Beginner 5y ago

ML Fundamentals

Dave Selinger — AI and the Next Generation of Security Systems

Weights & Biases Beginner 5y ago

ML Fundamentals

L13.9.1 LeNet-5 in PyTorch

Sebastian Raschka Beginner 5y ago

ML Fundamentals

L13.8 What a CNN Can See

Sebastian Raschka Beginner 5y ago

ML Fundamentals

L13.7 CNN Architectures & AlexNet

Sebastian Raschka Beginner 5y ago

ML Fundamentals

L13.6 CNNs & Backpropagation

Sebastian Raschka Beginner 5y ago

ML Fundamentals

Day 4- MLOPS Continuous Integration And Model Tracking Using MLFlow- Machine Learning

Krish Naik Beginner 5y ago

ML Fundamentals

L13.4 Convolutional Filters and Weight-Sharing

Sebastian Raschka Beginner 5y ago

ML Fundamentals

L13.3 Convolutional Neural Network Basics

Sebastian Raschka Beginner 5y ago

ML Fundamentals

L13.0 Introduction to Convolutional Networks -- Lecture Overview

Sebastian Raschka Beginner 5y ago

ML Fundamentals

Day 3- MLOPS End To End Implementation With Deployment- Machine Learning

Krish Naik Beginner 5y ago

ML Fundamentals

Day 2- MLOPS End To End Implementation From Basics- Machine Learning

Krish Naik Beginner 5y ago

ML Fundamentals

L12.6 Additional Topics and Research on Optimization Algorithms

Sebastian Raschka Beginner 5y ago

ML Fundamentals

L12.5 Choosing Different Optimizers in PyTorch

Sebastian Raschka Beginner 5y ago

ML Fundamentals

L12.4 Adam: Combining Adaptive Learning Rates and Momentum

Sebastian Raschka Beginner 5y ago

ML Fundamentals

L12.3 SGD with Momentum

Sebastian Raschka Beginner 5y ago

ML Fundamentals

L12.2 Learning Rate Schedulers in PyTorch

Sebastian Raschka Beginner 5y ago

ML Fundamentals

L12.1 Learning Rate Decay

Sebastian Raschka Beginner 5y ago

ML Fundamentals

L12.0: Improving Gradient Descent-based Optimization -- Lecture Overview

Sebastian Raschka Beginner 5y ago

ML Fundamentals

Day 1- MLOPS End To End Implementation- Machine Learning

Krish Naik Beginner 5y ago

ML Fundamentals

CycleGAN implementation from scratch

Aladdin Persson Beginner 5y ago

ML Fundamentals

TensorFlow DCGAN Tutorial

Aladdin Persson Beginner 5y ago

ML Fundamentals

How to Avoid Suffering in MLOps/Data Engineering Role // Igor Lushchyk // MLOps Meetup #55

MLOps.community Beginner 5y ago

ML Fundamentals

MLOps Live Community Session Announcement

Krish Naik Beginner 5y ago

ML Fundamentals

L11.7 Weight Initialization in PyTorch -- Code Example

Sebastian Raschka Beginner 5y ago

ML Fundamentals

L11.6 Xavier Glorot and Kaiming He Initialization

Sebastian Raschka Beginner 5y ago

ML Fundamentals

L11.5 Weight Initialization -- Why Do We Care?

Sebastian Raschka Beginner 5y ago

ML Fundamentals

L11.4 Why BatchNorm Works

Sebastian Raschka Beginner 5y ago

ML Fundamentals

L11.3 BatchNorm in PyTorch -- Code Example

Sebastian Raschka Beginner 5y ago

ML Fundamentals

L11.2 How BatchNorm Works

Sebastian Raschka Beginner 5y ago

ML Fundamentals

L11.1 Input Normalization

Sebastian Raschka Beginner 5y ago

ML Fundamentals

L11.0 Input Normalization and Weight Initialization -- Lecture Overview

Sebastian Raschka Beginner 5y ago

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Hyperparameter Tuning with Keras Tuner

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Linear Regression with R: Build & Optimize

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Déployer et adapter des modèles d'IA avec Cloud Run

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Identify Damaged Car Parts with Vertex AutoML Vision

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Deep Learning & Modern AI Architectures

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Fundamentals of Machine Learning

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Introduction to AI and Machine Learning on GC - Español

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Create Image Captioning Models - Deutsch

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Create Image Captioning Models

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Clinical Decision Support Systems - CDSS 4

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KALKÜLÜS III: UYGULAMALAR / CALCULUS III: APPLICATIONS

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AI for Healthcare

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Principles of Computing (Part 1)

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Deep Learning with ANN in Python: Build & Optimize

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Java Programming Essentials

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Convolutional Neural Networks

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State Estimation and Localization for Self-Driving Cars

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Deep Learning Essentials

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