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.

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Deep Learning with Keras and Tensorflow
This course is part of multiple programs.



Instructors: Samaya Madhavan
45,234 already enrolled
Included with
(974 reviews)
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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
- Artificial Intelligence
- Artificial Neural Networks
- Reinforcement Learning
- Artificial Intelligence and Machine Learning (AI/ML)
- Generative AI
- Image Analysis
- Performance Tuning
- Natural Language Processing
- Keras (Neural Network Library)
- Time Series Analysis and Forecasting
- Tensorflow
- Deep Learning
- Unsupervised Learning
Details to know

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974 reviews
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- 4 stars
21.43%
- 3 stars
8%
- 2 stars
2.87%
- 1 star
3.17%
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Reviewed on Jul 25, 2020
Reviewed on Jul 28, 2023
This course had a best and fast pace understanding for ANN, DNN, RDM and Autoencoders with Tensorflow
Reviewed on Mar 25, 2022
The detail of prsenetation is awsome and make learning interesting. Thank you Corseara, Thank you IBM

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