This course is the best out of all courses in the specialization, the pace of the speaker was perfect.
Deep Learning with Keras and Tensorflow
Deep Learning with Keras and Tensorflow
This course is part of multiple programs.
Instructors: Samaya Madhavan
Access provided by SGCSRC
54,492 already enrolled
1,023 reviews
Intermediate level
Recommended experience
Flexible schedule
1 hour to complete
Learn at your own pace
92%
Most learners liked this course
What you'll learn
Create custom layers and models in Keras and integrate Keras with TensorFlow 2.x
Develop advanced convolutional neural networks (CNNs) using Keras
Develop Transformer models for sequential data and time series prediction
Explain key concepts of Unsupervised learning in Keras, Deep Q-networks (DQNs), and reinforcement learning
Skills you'll gain
- Model Evaluation
- Generative Adversarial Networks (GANs)
- Unsupervised Learning
- Computer Vision
- Autoencoders
- Performance Tuning
- Deep Learning
- Keras (Neural Network Library)
- Reinforcement Learning
- Transfer Learning
- Convolutional Neural Networks
- Recurrent Neural Networks (RNNs)
- Tensorflow
- Skills section collapsed. Showing 8 of 13 skills.
Details to know
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Taught in English
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Showing 3 of 1023
VH
Reviewed on Mar 4, 2021
RR
Reviewed on Jul 25, 2020
Nice course to introduce you to more advanced neural network algorithms, I wish the evaluations were more challenging and based on practical exercises... there is no final assignment either.
BK
Reviewed on May 18, 2025
It is a very detailed course for those looking for learning more about Keras and Tensorflow.
