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Enroll in our Deep Learning with Keras and Tensorflow Course! Learn how to use Python for Deep Learning with Tensorflow 2 and Keras libraries. Start today!
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written by Pierian Training founder Jose Portilla!
This course will guide you through how to use Google’s latest TensorFlow 2 framework to create artificial neural networks for deep learning! This course aims to give you an easy to understand guide to the complexities of Google’s TensorFlow 2 framework in a way that is easy to understand. You’ll understand the latest updates to TensorFlow and leveraging the Keras API (TensorFlow 2.0’s official API) to quickly and easily build models. In this course we will build models to forecast future price homes, classify medical images, predict future sales data, generate complete new text artificially and much more!
Intermediate to experienced developers coming from another programming language or complete beginners who have never programmed before.
Google’s Open Source Deep Learning ecosystem, Tensorflow, is the world’s most popular framework for developing powerful deep neural networks. Packaged directly with Keras, the official API, it allows simple and interpretable creation and training of deep learning models. This Tensorflow and Keras course is designed for students familiar with the basics of data science and machine learning who want to dive into the world of deep learning by learning Tensorflow & Keras. This training covers different modalities of neural networks, including Artificial Neural Networks, Convolutional Neural Networks, Recurrent Neural Networks, and Generative Adversarial Networks.
This is my third course with Mr Jose. As usual, I have learnt a lot and have plans to take,more of his courses ?
Alnoor Ebrahim
Very well done course with lots of examples. There should be more on the TensorFlow API beyond Keras to give a bit of context about the framework outside of deep learning (a new section similar to the crash course sections on NumPy/Pandas/Visualisation will be really useful).
Laurentiu Iacob
Thank you. It was a very good, complete course.
Ákos Püspök
Very exciting topic and a great way to simplify complex information with key points
Jean-Michael Bernard
Great course with clear explanations of theory and good coding practice. I don't know web development but the Deployment section sparked my curiosity!
Masiyandaita Majange
this was a great overview of numpy, inclusive of some of the basic functions, common mistakes and use!
Akanksha Verma
Material is structured and friendly for beginners. The explanations are clear & move you step-by-step through the different topics.
ARKA GHOSH
Really an in-depth course. The concepts are explained efficiently and the coding exercises are helpful to understand the problem holistically.
Stylianos Chatzichronis
Really well taught and at a good pace. I enjoy it very much
Alvin Tan
Clearly explained each and every topic. i recommend this course who want to learn about deep leaning
Vijay Kumar
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