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  • An Introduction To Practical Deep Learning

Results for "an introduction to practical deep learning"


  • C

    Coursera

    Fake News Detection with Machine Learning

    Skills you'll gain: Recurrent Neural Networks (RNNs), Exploratory Data Analysis, Deep Learning, Text Mining, Matplotlib, Data Cleansing, Data Analysis, Data Preprocessing, Natural Language Processing, Data Manipulation, Python Programming, Machine Learning, Model Evaluation

    4.6
    Rating, 4.6 out of 5 stars
    ·
    264 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Preview
    Preview
    U

    University of Colorado Boulder

    Deep Learning Applications for Computer Vision

    Skills you'll gain: Computer Vision, Convolutional Neural Networks, Image Analysis, Tensorflow, Deep Learning, Artificial Neural Networks, Applied Machine Learning, Machine Learning, Model Evaluation, Performance Tuning, Classification Algorithms

    Build toward a degree

    4.7
    Rating, 4.7 out of 5 stars
    ·
    88 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of California San Diego

    Design Principles: an Introduction

    Skills you'll gain: Graphic and Visual Design, Usability Testing, User Interface (UI) Design, Design, Experimentation, Interaction Design, Human Computer Interaction, User Experience Design, Prototyping, Design Elements And Principles, Layout Design, Human Centered Design, Web Design and Development, Typography, Design Research, A/B Testing

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.4K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Intro to Generative AI: A Beginner's Primer on Core Concepts

    Skills you'll gain: Responsible AI, Google Gemini, LLM Application, AI Enablement, AI Product Strategy, Stakeholder Analysis

    4.7
    Rating, 4.7 out of 5 stars
    ·
    12K reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Preparing for Google Cloud Certification: Machine Learning Engineer

    Skills you'll gain: Feature Engineering, MLOps (Machine Learning Operations), Responsible AI, Generative AI, Google Cloud Platform, Model Deployment, Tensorflow, Big Data, Keras (Neural Network Library), Data Preprocessing, Data Quality, Exploratory Data Analysis, Machine Learning, Applied Machine Learning, Data Migration, Apache Airflow, Model Evaluation, Data Lakes, Scikit Learn (Machine Learning Library), Cloud Computing

    4.4
    Rating, 4.4 out of 5 stars
    ·
    4.9K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • Status: Preview
    Preview
    U

    University of Geneva

    Particle Physics: an Introduction

    Skills you'll gain: Physics, electromagnetics, Materials science, Laboratory Equipment, Physical Science, Radiation Protection, Experimentation, Mechanics, Research

    4.4
    Rating, 4.4 out of 5 stars
    ·
    962 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Preview
    Preview
    S

    Stanford University

    Stanford Introduction to Food and Health

    Skills you'll gain: Cooking, Meal Planning And Preparation, Health Promotion, Health Education, Nutrition and Diet, Public Health, Behavior Management, Cultural Diversity, Health Informatics, Chronic Diseases

    4.7
    Rating, 4.7 out of 5 stars
    ·
    34K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google

    The Nuts and Bolts of Machine Learning

    Skills you'll gain: Feature Engineering, Model Evaluation, Advanced Analytics, Statistical Machine Learning, Unsupervised Learning, Machine Learning, Data Ethics, Supervised Learning, Decision Tree Learning, Random Forest Algorithm, Classification Algorithms, Python Programming, Performance Tuning

    4.8
    Rating, 4.8 out of 5 stars
    ·
    594 reviews

    Advanced · Course · 1 - 3 Months

  • C

    Coursera

    Deep Learning with PyTorch : Object Localization

    Skills you'll gain: PyTorch (Machine Learning Library), Image Analysis, Convolutional Neural Networks, Computer Vision, Transfer Learning, Applied Machine Learning, Model Evaluation, Deep Learning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    48 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Breast Cancer Prediction Using Machine Learning

    Skills you'll gain: Data Cleansing, Logistic Regression, Data Preprocessing, Applied Machine Learning, Data Import/Export, Data Mining, Python Programming, Google Cloud Platform, Scikit Learn (Machine Learning Library), Predictive Modeling, Classification Algorithms, Machine Learning, Supervised Learning

    4.2
    Rating, 4.2 out of 5 stars
    ·
    56 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Deep Learning with PyTorch : Siamese Network

    Skills you'll gain: Embeddings, PyTorch (Machine Learning Library), Artificial Neural Networks, Image Analysis, Deep Learning, Applied Machine Learning, Convolutional Neural Networks, Computer Vision

    4.7
    Rating, 4.7 out of 5 stars
    ·
    49 reviews

    Advanced · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    Status: AI skills
    AI skills
    U

    University of Pennsylvania

    AI and Machine Learning Essentials with Python

    Skills you'll gain: Statistical Machine Learning, Data Preprocessing, Model Evaluation, PyTorch (Machine Learning Library), Statistical Methods, Probability, Probability & Statistics, Sampling (Statistics), Logistic Regression, Deep Learning, Probability Distribution, Supervised Learning, Statistics, Machine Learning Methods, Machine Learning, Agentic systems, Artificial Intelligence, Artificial Neural Networks, Algorithms, Python Programming

    4.5
    Rating, 4.5 out of 5 stars
    ·
    42 reviews

    Intermediate · Specialization · 3 - 6 Months

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In summary, here are 10 of our most popular an introduction to practical deep learning courses

  • Fake News Detection with Machine Learning: Coursera
  • Deep Learning Applications for Computer Vision: University of Colorado Boulder
  • Design Principles: an Introduction: University of California San Diego
  • Intro to Generative AI: A Beginner's Primer on Core Concepts: Google Cloud
  • Preparing for Google Cloud Certification: Machine Learning Engineer: Google Cloud
  • Particle Physics: an Introduction: University of Geneva
  • Stanford Introduction to Food and Health: Stanford University
  • The Nuts and Bolts of Machine Learning: Google
  • Deep Learning with PyTorch : Object Localization: Coursera
  • Breast Cancer Prediction Using Machine Learning: Coursera

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