TensorFlow Tutorial 05 Convolutional Neural Network CNN

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http://youtube.com/watch?v=eMMZpas-zX0

New Tutorial series about TensorFlow 2! Learn all the basics you need to get started with this deep learning framework! • Part 05: Convolutional Neural Network • In this part we build our first convolutional neural network using the keras Sequential API. We learn how to build a model, how to train and evaluate the model, and how to make predictions with the model. • ~~~~~~~~~~~~~~ GREAT PLUGINS FOR YOUR CODE EDITOR ~~~~~~~~~~~~~~ • ✅ Write cleaner code with Sourcery: https://sourcery.ai/?utm_source=youtu... * • Get my Free NumPy Handbook: • https://www.python-engineer.com/numpy... • 🚀🚀 Get exclusive content on Patreon: 🚀🚀 • / patrickloeber • If you enjoyed this video, please subscribe to the channel! • Course material is available on GitHub: • https://github.com/patrickloeber/tens... • Softmax + Crossentropy: • • PyTorch Tutorial 11 - Softmax and Cro... • CNN PyTorch: • • PyTorch Tutorial 14 - Convolutional N... • Deep Learning Fundamentals playlist (deeplizard channel): • • Deep Learning Fundamentals - Intro to... • Links: • https://www.tensorflow.org • 🚀🚀 JOIN MY NEWSLETTER 🚀🚀 • https://www.python-engineer.com/newsl... • You can find me here: • Website: https://www.python-engineer.com • Twitter: / patloeber • GitHub: https://github.com/patrickloeber • Music: https://www.bensound.com/ • #Python • Course Parts: • 01 TensorFlow Installation • 02 TensorFlow Tensor Basics • 03 TensorFlow Neural Net • 04 TensorFlow Linear Regression • 05 TensorFlow CNN (Convolutional Neural Nets) • 06 TensorFlow Save Load Models • 07 TensorFlow Functional API • 08 TensorFlow Multi-output Project • 09 TensorFlow Transfer Learning • 10 TensorFlow RNN / LSTM / GRU • 11 TensorFlow NLP • TensorFlow 2, Keras, Deep Learning, TensorFlow Course, TensorFlow Beginner Course, TensorFlow Tutorial • ---------------------------------------------------------------------------------------------------------- • This is a sponsored link. By clicking on it you will not have any additional costs, instead you will support me and my project. Thank you so much for the support! 🙏

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