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.
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 Sadhana Shikshan Mandal - Saraswati College
54,269 already enrolled
1,022 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
- Performance Tuning
- Deep Learning
- Unsupervised Learning
- Autoencoders
- Keras (Neural Network Library)
- Recurrent Neural Networks (RNNs)
- Tensorflow
- Transfer Learning
- Reinforcement Learning
- Computer Vision
- Convolutional Neural Networks
- Generative Adversarial Networks (GANs)
- Model Evaluation
- Skills section collapsed. Showing 9 of 13 skills.
Details to know
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Taught in English
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Showing 3 of 1022
RR
Reviewed on Jul 25, 2020
VH
Reviewed on Mar 4, 2021
This course is the best out of all courses in the specialization, the pace of the speaker was perfect.
MG
Reviewed on May 16, 2023
very well-constructed course for deep learning students. Really enjoyed. Many thanks for IBM