Google, IBM & Meta Certificates — All 10,000+ Courses at 40% Off
One annual plan covers every course and certificate on Coursera. 40% off for a limited time.
Get Full Access
Learn how to build neural networks in TensorFlow 2.0 using the Keras Sequential and Functional API in this comprehensive tutorial video. Explore the process of loading the MNIST dataset, implementing both Sequential and Functional API approaches, and extracting output features from specific layers. Gain insights into obtaining model summaries and receive practical suggestions for further experimentation. Suitable for those with a basic understanding of neural networks, this tutorial provides hands-on experience in TensorFlow implementation, complemented by recommended resources for deepening theoretical knowledge.
