- TensorFlow Courses Introduction
- 1.TensorFlow Developer Certificate: Zero to Mastery by Udemy
- 2. TensorFlow 2.0: Deep Learning and Artificial Intelligence by Udemy
- 3. Complete TensorFlow 2 and Keras Deep Learning Bootcamp by Udemy
- 4.Deep Learning Masterclass with TensorFlow 2 Over 20 Projects by Udemy
- 5. Deep Learning with TensorFlow (beginner to expert level) by Udemy
- 6. AI Practices with TensorFlow & Blender by Udemy (Free)
- 7. TensorFlow 2.0 | Recurrent Neural Networks, LSTMs, GRUs by Udemy (Free)
TensorFlow Courses Introduction
Explore the exciting world of TensorFlow through 7 amazing courses on Udemy! Whether you’re a beginner or an expert, check out these free and paid options to unlock the power of AI. Learn from top-notch experts and unleash your AI potential with TensorFlow.
1.TensorFlow Developer Certificate: Zero to Mastery by Udemy
Join instructors Andrei Neagoie and Daniel Bourke to elevate your skills in AI and Machine Learning! This course helps you ace Google’s TensorFlow Developer Certification and become an expert in the field. With this program, you’ll create models in Computer Vision, CNNs, and NLP, access interactive materials, and enhance your ML and DL skills to tackle the TensorFlow assessment. Perfect for anyone targeting the TensorFlow Developer exam and aiming to earn Google’s certification in AI!
TensorFlow Developer Certificate: Zero to Mastery
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2. TensorFlow 2.0: Deep Learning and Artificial Intelligence by Udemy
Lazy Programmer Inc offers a course that covers a wide range of topics such as Machine Learning, Neural Networks, Computer Vision, Time Series Analysis, NLP, GANs, Reinforcement Learning, and more. This course is designed to help you gain expertise in ANNs/DNNs, stock prediction, time series forecasting, computer vision, reinforcement learning trading bot, GANs, recommender systems, image recognition, CNNs, and RNNs. This course is suitable for beginners to advanced students who want to learn about deep learning and AI in Tensorflow 2.0. Join the course to learn more about these exciting topics.
TensorFlow 2.0: Deep Learning and Artificial Intelligence
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3. Complete TensorFlow 2 and Keras Deep Learning Bootcamp by Udemy
This course, guided by mentor Jose Portilla, teaches Python for Deep Learning using Google’s latest TensorFlow 2 library and Keras. You will learn to perform Image Classification, medical imaging, Time Series forecasting, GANs, style transfer, and text generation with RNNs & NLP. This course is ideal for Python developers interested in learning about TensorFlow 2 for deep learning and artificial intelligence.
Complete TensorFlow 2 and Keras Deep Learning Bootcamp
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4.Deep Learning Masterclass with TensorFlow 2 Over 20 Projects by Udemy
This course, created by Neuralearn Dot AI, teaches you to master Deep Learning using TensorFlow 2. You will explore Computer Vision, Natural Language Processing, Sound Recognition, and Deployment. The course provides insights into Tensors, training neural networks, Convolutional Neural Networks for Malaria Detection, advanced TensorFlow models, and evaluating classification with various metrics and techniques. This course is ideal for beginner Python developers curious about Deep Learning in computer vision and NLP, practitioners aiming for mastery, and those eager to master deep learning fundamentals and state-of-the-art models in TensorFlow for computer vision and NLP.
Deep Learning Masterclass with TensorFlow 2 Over 20 Projects
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5. Deep Learning with TensorFlow (beginner to expert level) by Udemy
Uplatz Training offers an excellent course on TensorFlow that covers concepts, components, pipelines, ANN, Classification, Regression, Object Identification, CNN, RNN, and Tensor Board. This course is ideal for ML & DL Engineers, Data Scientists, Analysts, and Developers who wish to master TensorFlow, algorithms, and applications in AI, ML, and Deep Learning. You will explore Python, ML, ANN, CNN, RNN, Object ID, and more with practical examples.
Deep Learning with TensorFlow (beginner to expert level)
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6. AI Practices with TensorFlow & Blender by Udemy (Free)
This course, created by Oscar Villarreal, is designed to teach you how to create 3D figures by training a basic Generative Adversarial Network (GAN). The course aims to help you master the creation of basic Generative Adversarial Networks for 3D models and use machine learning to generate simple 3D models.
AI Practices with TensorFlow & Blender
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7. TensorFlow 2.0 | Recurrent Neural Networks, LSTMs, GRUs by Udemy (Free)
Jad Slim’s sequence prediction course covers essential techniques like RNN, LSTM, GRU, NLP, Seq2Seq, Attention, and Time series prediction. Dive into this course to master these key methods for predicting sequences. You’ll gain a deep understanding of RNN, LSTM, GRU, NLP, Seq2Seq, Attention, and Time series techniques through Jad Slim’s well-crafted lessons.
TensorFlow 2.0 | Recurrent Neural Networks, LSTMs, GRUs
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FAQ’s
1) What is TensorFlow?
TensorFlow is an open-source machine learning framework developed by Google for building and training various types of machine learning models.
2) What are the main components of TensorFlow?
TensorFlow consists of a core library for numerical computation, along with APIs for building and training machine learning models.
3) What are some common applications of TensorFlow?
TensorFlow is used for tasks like image and speech recognition, natural language processing, recommendation systems, and more.
4) What is the difference between TensorFlow 1.x and TensorFlow 2.x?
TensorFlow 2.x offers improved ease of use and integration of high-level APIs like Keras, making it more user-friendly compared to the earlier versions.
5) How can I learn TensorFlow?
You can learn TensorFlow through online courses, tutorials, official documentation, and community resources to build your skills in machine learning and deep learning.
