I expected some more explaination for the concepts. However from tensorflow website, more could be learnt.
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 Interbank
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
- Tensorflow
- Computer Vision
- Deep Learning
- Reinforcement Learning
- Recurrent Neural Networks (RNNs)
- Transfer Learning
- Performance Tuning
- Generative Adversarial Networks (GANs)
- Keras (Neural Network Library)
- Model Evaluation
- Unsupervised Learning
- Convolutional Neural Networks
- Autoencoders
- 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
TJ
Reviewed on Feb 23, 2022
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.
MK
Reviewed on Nov 21, 2019
Good content. A bit too fast on some complex concepts and missing audio for the last lecture but great lecturer.
