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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


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    Coursera

    Basic Image Classification with TensorFlow

    Skills you'll gain: Model Evaluation, Keras (Neural Network Library), Tensorflow, Image Analysis, Artificial Neural Networks, Deep Learning, Computer Vision, Machine Learning, Classification Algorithms

    4.6
    Rating, 4.6 out of 5 stars
    ·
    847 reviews

    Beginner · Guided Project · Less Than 2 Hours

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    Coursera

    Fine Tune BERT for Text Classification with TensorFlow

    Skills you'll gain: Tensorflow, Keras (Neural Network Library), Model Evaluation, Transfer Learning, Natural Language Processing, Data Preprocessing, Deep Learning, Data Pipelines

    4.6
    Rating, 4.6 out of 5 stars
    ·
    211 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Tweet Emotion Recognition with TensorFlow

    Skills you'll gain: Recurrent Neural Networks (RNNs), Tensorflow, Python Programming, Natural Language Processing, Data Preprocessing, Applied Machine Learning, Text Mining, Machine Learning Algorithms, Deep Learning, Classification Algorithms, Machine Learning

    4.5
    Rating, 4.5 out of 5 stars
    ·
    173 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Object Localization with TensorFlow

    Skills you'll gain: Tensorflow, Keras (Neural Network Library), Data Synthesis, Convolutional Neural Networks, Image Analysis, Computer Vision, Artificial Neural Networks, Model Evaluation, Applied Machine Learning, Deep Learning, Machine Learning, Python Programming

    4.3
    Rating, 4.3 out of 5 stars
    ·
    117 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Transfer Learning for NLP with TensorFlow Hub

    Skills you'll gain: Transfer Learning, Tensorflow, Natural Language Processing, Keras (Neural Network Library), Embeddings, Deep Learning, Classification Algorithms, Model Evaluation, Machine Learning, Software Visualization

    4.8
    Rating, 4.8 out of 5 stars
    ·
    181 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • C

    Coursera

    TensorFlow for Beginners: Basic Binary Image Classification

    Skills you'll gain: Model Deployment, Tensorflow, Model Evaluation, Data Preprocessing, Image Analysis, Artificial Neural Networks, Convolutional Neural Networks, Applied Machine Learning, Machine Learning Methods, Computer Vision, Deep Learning

    Beginner · Guided Project · Less Than 2 Hours

What brings you to Coursera today?

  • C

    Coursera

    CNNs with TensorFlow: Basics of Machine Learning

    Skills you'll gain: Tensorflow, Convolutional Neural Networks, Keras (Neural Network Library), Matplotlib, Artificial Neural Networks, Image Analysis, Deep Learning, Applied Machine Learning, Python Programming, Model Evaluation, Adaptability, Problem Solving

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free
    Free
    C

    Coursera

    TensorFlow Prediction: Identify Penguin Species

    Skills you'll gain: Model Evaluation, Data Preprocessing, Tensorflow, Applied Machine Learning, Feature Engineering, Data Cleansing, Classification And Regression Tree (CART), Machine Learning, Random Forest Algorithm, Pandas (Python Package), Data Analysis, Exploratory Data Analysis

    Intermediate · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Medical Insurance Premium Prediction with Machine Learning

    Skills you'll gain: Data Visualization, Keras (Neural Network Library), Data Preprocessing, Artificial Neural Networks, Interactive Data Visualization, Predictive Modeling, Tensorflow, Applied Machine Learning, Feature Engineering, Data Science, Predictive Analytics, Data Manipulation, Machine Learning, Model Evaluation, Regression Analysis, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    26 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Optimize TensorFlow Models For Deployment with TensorRT

    Skills you'll gain: Keras (Neural Network Library), Tensorflow, Applied Machine Learning, Deep Learning, Performance Tuning, Convolutional Neural Networks, Model Deployment, Python Programming

    4.5
    Rating, 4.5 out of 5 stars
    ·
    76 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Visualizing Filters of a CNN using TensorFlow

    Skills you'll gain: Tensorflow, Convolutional Neural Networks, Image Analysis, Python Programming, Jupyter, Artificial Neural Networks, Deep Learning, Software Visualization, Machine Learning

    4.4
    Rating, 4.4 out of 5 stars
    ·
    84 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Create a Superhero Name Generator with TensorFlow

    Skills you'll gain: Tensorflow, Natural Language Processing, Python Programming, Machine Learning Methods, Recurrent Neural Networks (RNNs), Data Preprocessing, Artificial Neural Networks, Machine Learning, Deep Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    38 reviews

    Intermediate · Guided Project · Less Than 2 Hours

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

  • Basic Image Classification with TensorFlow: Coursera
  • Fine Tune BERT for Text Classification with TensorFlow: Coursera
  • Tweet Emotion Recognition with TensorFlow: Coursera
  • Object Localization with TensorFlow: Coursera
  • Transfer Learning for NLP with TensorFlow Hub: Coursera
  • TensorFlow for Beginners: Basic Binary Image Classification: Coursera
  • CNNs with TensorFlow: Basics of Machine Learning: Coursera
  • TensorFlow Prediction: Identify Penguin Species: Coursera
  • Medical Insurance Premium Prediction with Machine Learning: Coursera
  • Optimize TensorFlow Models For Deployment with TensorRT: Coursera

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)

Frequently Asked Questions about Tensorflow

TensorFlow is an open-source machine learning framework developed by Google that allows developers to create complex neural networks and machine learning models. It is important because it provides a flexible and comprehensive ecosystem for building and deploying machine learning applications. TensorFlow supports various tasks, from simple linear regression to advanced deep learning applications, making it a versatile tool for data scientists and developers alike.‎

With skills in TensorFlow, you can pursue various job roles in the tech industry. Common positions include Machine Learning Engineer, Data Scientist, AI Researcher, and Software Developer specializing in AI applications. These roles often involve designing and implementing machine learning models, analyzing data, and developing algorithms that can learn from and make predictions based on data.‎

To effectively learn TensorFlow, you should focus on several key skills. First, a solid understanding of Python programming is essential, as TensorFlow is primarily used with this language. Additionally, knowledge of machine learning concepts, linear algebra, and statistics will greatly enhance your ability to work with TensorFlow. Familiarity with neural networks and deep learning principles is also crucial, as these are fundamental to many TensorFlow applications.‎

There are many excellent online courses available for learning TensorFlow. Notable options include the DeepLearning.AI TensorFlow Developer Professional Certificate, which provides a comprehensive introduction to TensorFlow and its applications. Another great choice is the Deep Learning with TensorFlow Specialization, which covers various aspects of deep learning using TensorFlow.‎

Yes. You can start learning TensorFlow on Coursera for free in two ways:

  1. Preview the first module of many TensorFloww courses at no cost. This includes video lessons, readings, graded assignments, and Coursera Coach (where available).
  2. Start a 7-day free trial for Specializations or Coursera Plus. This gives you full access to all course content across eligible programs within the timeframe of your trial.

If you want to keep learning, earn a certificate in TensorFlow, or unlock full course access after the preview or trial, you can upgrade or apply for financial aid.‎

To learn TensorFlow, start by exploring introductory courses that cover the basics of machine learning and TensorFlow itself. Engage with hands-on projects to apply what you learn in real-world scenarios. Utilize online resources, such as tutorials and documentation, to deepen your understanding. Joining community forums can also provide support and insights from other learners and professionals.‎

Typical topics covered in TensorFlow courses include the fundamentals of machine learning, building and training neural networks, working with TensorFlow APIs, and deploying models. Advanced courses may explore specialized areas such as computer vision, natural language processing, and reinforcement learning, providing a well-rounded education in machine learning.‎

For training and upskilling employees, the IBM Deep Learning with PyTorch, Keras and Tensorflow Professional Certificate is an excellent choice. It equips learners with practical skills in deep learning and TensorFlow, making it suitable for organizations looking to enhance their workforce's capabilities in AI and machine learning.‎

This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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