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  • Tensorflow

TensorFlow Courses

TensorFlow courses can help you learn neural networks, deep learning techniques, and model deployment strategies. You can build skills in data preprocessing, hyperparameter tuning, and performance evaluation. Many courses introduce tools like Keras for building models, TensorBoard for visualization, and various APIs for integrating AI into applications.

Popular TensorFlow Courses and Certifications


  • D

    DeepLearning.AI

    심층 신경망 개선: 하이퍼파라미터 튜닝, 정규화 및 최적화

    Skills you'll gain: Model Optimization, Tensorflow, Deep Learning, Model Training, Performance Tuning, Model Evaluation, Machine Learning Methods, Artificial Neural Networks, Statistical Analysis, Debugging, Verification And Validation, Algorithms

    4.6 stars, 7 reviews, Intermediate, Course, 1 - 4 Weeks

    ★ 4.6 (7) · Intermediate · Course · 1 - 4 Weeks

    Category: Preview
    Preview
  • P

    Packt

    Advanced CNNs, Transfer Learning, and Recurrent Networks

    Skills you'll gain: Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Deep Learning, Image Analysis, Keras (Neural Network Library), Applied Machine Learning, Fine-tuning, Tensorflow, Natural Language Processing, Network Architecture

    Advanced · Course · 1 - 3 Months

    Status: Free trial
    Free trial
  • P

    Packt

    Deep Learning & Modern AI Architectures

    Skills you'll gain: Recurrent Neural Networks (RNNs), Transfer Learning, Model Optimization, Convolutional Neural Networks, Deep Learning, Keras (Neural Network Library), Fine-tuning, Tensorflow, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), PyTorch (Machine Learning Library), Image Analysis, Model Training, Machine Learning Methods, Applied Machine Learning, Natural Language Processing

    Intermediate · Course · 1 - 3 Months

    Status: Free trial
    Free trial
  • E

    EDUCBA

    Deep Learning with ANN in Python: Build & Optimize

    Skills you'll gain: Keras (Neural Network Library), Tensorflow, Artificial Neural Networks, Deep Learning, Model Training, Data Preprocessing, Model Optimization, Model Evaluation, Predictive Modeling, Data Processing, Development Environment, Predictive Analytics, Project Performance, Design, Software Installation

    4.6 stars, 17 reviews, Mixed, Course, 1 - 4 Weeks

    ★ 4.6 (17) · Mixed · Course · 1 - 4 Weeks

    Status: Free trial
    Free trial
  • G

    Google Cloud

    Data Engineering, Big Data, and Machine Learning on GCP

    Skills you'll gain: Dashboard Creation, Model Deployment, Feature Engineering, PySpark, Data Import/Export, Big Data, Apache Spark, Data Governance, Apache Hadoop, Dashboard, Apache Kafka, Data Store, Cloud Services, Cloud Deployment, Data Access, Cloud API, Data Architecture, Data Quality, Data Cleansing, Machine Learning Methods

    4.6 stars, 4.4K reviews, Intermediate, Specialization, 3 - 6 Months

    ★ 4.6 (4.4K) · Intermediate · Specialization · 3 - 6 Months

    Status: Free trial
    Free trial
  • D

    DeepLearning.AI

    Natural Language Processing with Probabilistic Models

    Skills you'll gain: Natural Language Processing, Markov Model, Embeddings, Data Preprocessing, Artificial Neural Networks, Machine Learning Methods, Deep Learning, Algorithms, Data Cleansing, Probability & Statistics

    4.7 stars, 1.8K reviews, Intermediate, Course, 1 - 4 Weeks

    ★ 4.7 (1.8K) · Intermediate · Course · 1 - 4 Weeks

    Status: Free trial
    Free trial
  • G

    Google Cloud

    Production Machine Learning Systems

    Skills you'll gain: Model Optimization, MLOps (Machine Learning Operations), Model Deployment, Model Training, Systems Design, Tensorflow, Hybrid Cloud Computing, Google Cloud Platform, Machine Learning Methods, Performance Tuning, Applied Machine Learning, Machine Learning, Distributed Computing, Dependency Analysis, Data Pipelines

    4.6 stars, 1K reviews, Advanced, Course, 1 - 3 Months

    ★ 4.6 (1K) · Advanced · Course · 1 - 3 Months

    Status: Free trial
    Free trial
  • D

    DeepLearning.AI

    Natural Language Processing with Attention Models

    Skills you'll gain: Natural Language Processing, Transfer Learning, Recurrent Neural Networks (RNNs), Applied Machine Learning, Keras (Neural Network Library), Model Evaluation, Model Training

    4.4 stars, 1.1K reviews, Intermediate, Course, 1 - 4 Weeks

    ★ 4.4 (1.1K) · Intermediate · Course · 1 - 4 Weeks

    Status: Free trial
    Free trial
  • U

    University of Pennsylvania

    AI Fundamentals for Non-Data Scientists

    Skills you'll gain: Machine Learning Methods, Generative AI, Data Management, Generative Model Architectures, Big Data, Statistical Machine Learning, Applied Machine Learning, Machine Learning Algorithms, Generative Adversarial Networks (GANs), AI Enablement, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Large Language Modeling, Customer Data Management, AI literacy, Autoencoders, Model Optimization, Deep Learning, Model Evaluation, Algorithms

    4.8 stars, 1.1K reviews, Mixed, Course, 1 - 3 Months

    ★ 4.8 (1.1K) · Mixed · Course · 1 - 3 Months

    Status: Free trial
    Free trial
  • D

    DeepLearning.AI

    Natural Language Processing with Classification and Vector Spaces

    Skills you'll gain: Natural Language Processing, Supervised Learning, Embeddings, Dimensionality Reduction, Machine Learning Methods, Text Mining, Statistical Machine Learning, Classification Algorithms, Logistic Regression, Feature Engineering

    4.6 stars, 4.6K reviews, Intermediate, Course, 1 - 4 Weeks

    ★ 4.6 (4.6K) · Intermediate · Course · 1 - 4 Weeks

    Status: Free trial
    Free trial
  • D

    DeepLearning.AI

    Natural Language Processing

    Skills you'll gain: Natural Language Processing, Supervised Learning, Transfer Learning, Recurrent Neural Networks (RNNs), Markov Model, Embeddings, Applied Machine Learning, Dimensionality Reduction, Large Language Modeling, Text Mining, Statistical Machine Learning, Artificial Neural Networks, Classification Algorithms, Data Preprocessing, Deep Learning, Tensorflow, Machine Learning Methods, Logistic Regression, Feature Engineering, Keras (Neural Network Library)

    4.6 stars, 6.2K reviews, Intermediate, Specialization, 3 - 6 Months

    ★ 4.6 (6.2K) · Intermediate · Specialization · 3 - 6 Months

    Status: Top AI program
    Top AI program
    Status: Free trial
    Free trial
  • E

    EDUCBA

    Applied Deep Learning and neural networks

    Skills you'll gain: Computer Vision, Deep Learning, Image Analysis, Convolutional Neural Networks, Exploratory Data Analysis, Feature Engineering, Tensorflow, Model Training, Predictive Modeling, Transfer Learning, Applied Machine Learning, Machine Learning Methods, Application Development, Predictive Analytics, Model Evaluation, Machine Learning, Network Model, Analytics, Network Architecture, Design

    Beginner · Specialization · 1 - 3 Months

    Category: New
    New
    Status: Free trial
    Free trial
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In summary, here are 10 of our most popular tensorflow courses

  • 심층 신경망 개선: 하이퍼파라미터 튜닝, 정규화 및 최적화: DeepLearning.AI
  • Advanced CNNs, Transfer Learning, and Recurrent Networks: Packt
  • Deep Learning & Modern AI Architectures: Packt
  • Deep Learning with ANN in Python: Build & Optimize: EDUCBA
  • Data Engineering, Big Data, and Machine Learning on GCP: Google Cloud
  • Natural Language Processing with Probabilistic Models: DeepLearning.AI
  • Production Machine Learning Systems: Google Cloud
  • Natural Language Processing with Attention Models: DeepLearning.AI
  • AI Fundamentals for Non-Data Scientists: University of Pennsylvania
  • Natural Language Processing with Classification and Vector Spaces: DeepLearning.AI

Skills you can learn in Machine Learning

Python Programming (33)
Tensorflow (32)
Deep Learning (30)
Artificial Neural Network (24)
Big Data (18)
Statistical Classification (17)
Reinforcement Learning (13)
Algebra (10)
Bayesian (10)
Linear Algebra (10)
Linear Regression (9)
Numpy (9)

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