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    Results for "intro to tensorflow"

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      Whizlabs

      NVIDIA: Fundamentals of Machine Learning

      Skills you'll gain: Unsupervised Learning, Time Series Analysis and Forecasting, Supervised Learning, Machine Learning, Data Processing, Feature Engineering, Artificial Intelligence, Data Cleansing, Deep Learning, Statistical Analysis, Predictive Modeling, Classification And Regression Tree (CART), Regression Analysis

      4.6
      Rating, 4.6 out of 5 stars
      ·
      12 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
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      C

      Coursera

      Deep Learning with PyTorch

      Skills you'll gain: Network Architecture

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
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      Google Cloud

      Machine Learning with TensorFlow on Google Cloud em Português Brasileiro

      Skills you'll gain: Feature Engineering, Responsible AI, Tensorflow, Exploratory Data Analysis, Google Cloud Platform, Keras (Neural Network Library), Data Quality, Data Cleansing, Machine Learning Methods, Data Strategy, Machine Learning, Applied Machine Learning, Unsupervised Learning, Application Deployment, Data Analysis, Deep Learning, Machine Learning Algorithms, Artificial Neural Networks, Supervised Learning, MLOps (Machine Learning Operations)

      4.7
      Rating, 4.7 out of 5 stars
      ·
      92 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Preview
      Preview
      F

      Fractal Analytics

      Introduction to Vertex AI

      Skills you'll gain: MLOps (Machine Learning Operations), Applied Machine Learning, Generative AI, Google Cloud Platform, Artificial Intelligence, Machine Learning, User Interface (UI), Cloud Computing, Complex Problem Solving, Critical Thinking

      4.5
      Rating, 4.5 out of 5 stars
      ·
      10 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Preview
      Preview
      S

      Simplilearn

      Introduction to Long Short Term Memory (LSTM) Training

      Skills you'll gain: Keras (Neural Network Library), Time Series Analysis and Forecasting, PyTorch (Machine Learning Library), Natural Language Processing, Tensorflow, Deep Learning, Artificial Neural Networks, Applied Machine Learning

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      L

      LearnKartS

      Introduction to AI and Machine Learning

      Skills you'll gain: AWS SageMaker, Computer Vision, Applied Machine Learning, Natural Language Processing, Machine Learning, Data Wrangling, Reinforcement Learning, Artificial Intelligence

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      Illinois Tech

      Deep Learning

      Skills you'll gain: Deep Learning, Generative AI, Image Analysis, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), PyTorch (Machine Learning Library), Network Architecture, Tensorflow, Computer Vision, Natural Language Processing, Machine Learning, Performance Tuning

      Build toward a degree

      4.5
      Rating, 4.5 out of 5 stars
      ·
      24 reviews

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
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      K

      KodeKloud

      Introduction to OpenAI

      Skills you'll gain: Prompt Engineering, OpenAI, Responsible AI, Data Ethics, Artificial Intelligence, Generative AI, LLM Application, Image Analysis, Large Language Modeling, Natural Language Processing, Computer Vision, Deep Learning, Application Programming Interface (API), Reinforcement Learning

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
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      Imperial College London

      Getting started with TensorFlow 2

      Skills you'll gain: Tensorflow, Keras (Neural Network Library), Deep Learning, Image Analysis, Computer Programming, Program Development, Data Validation, Applied Machine Learning, Supervised Learning, Predictive Modeling, Computer Vision, Machine Learning Methods, Artificial Neural Networks, Jupyter, Application Programming Interface (API)

      4.9
      Rating, 4.9 out of 5 stars
      ·
      576 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      P

      Packt

      Introduction to RNN and DNN

      Skills you'll gain: PyTorch (Machine Learning Library), Artificial Intelligence, Applied Machine Learning, Artificial Neural Networks, Deep Learning, Application Deployment, Machine Learning, Predictive Modeling, Natural Language Processing, Python Programming, Performance Tuning, Data Science

      Beginner · Course · 1 - 4 Weeks

    • Status: Preview
      Preview
      D

      DeepLearning.AI

      심층 신경망 개선: 하이퍼파라미터 튜닝, 정규화 및 최적화

      Skills you'll gain: Tensorflow, Deep Learning, Performance Tuning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Analysis, Machine Learning, Algorithms

      4.6
      Rating, 4.6 out of 5 stars
      ·
      7 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Toronto

      Introduction to Self-Driving Cars

      Skills you'll gain: Control Systems, Automation, Simulation and Simulation Software, Software Architecture, Safety Assurance, Hardware Architecture, Systems Architecture, Mathematical Modeling, Computer Hardware, Mechanics

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.9K reviews

      Advanced · Course · 1 - 3 Months

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    In summary, here are 10 of our most popular intro to tensorflow courses

    • NVIDIA: Fundamentals of Machine Learning: Whizlabs
    • Deep Learning with PyTorch: Coursera
    • Machine Learning with TensorFlow on Google Cloud em Português Brasileiro: Google Cloud
    • Introduction to Vertex AI : Fractal Analytics
    • Introduction to Long Short Term Memory (LSTM) Training: Simplilearn
    • Introduction to AI and Machine Learning: LearnKartS
    • Deep Learning: Illinois Tech
    • Introduction to OpenAI: KodeKloud
    • Getting started with TensorFlow 2: Imperial College London
    • Introduction to RNN and DNN: Packt

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