Season 1 |
#1. Brief history of Artificial Intellgence
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This video is the first of a series on artificial intelligence. It deals with the fundamentals of AI, about artificial neural networks, but also about the following practical problems: how to build a neural network, how to debug a neural network, how to organize your data, and so on. This video aims to explore the different existing software frameworks and the hardware platforms.
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#2. Machine Learning - learning from data
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This video is the second in a series of talks on artificial intelligence. In the previous one you learned about the history of AI and machine learning. This video will present the different methods for a machine to learn something, and there are differences between these methods.
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#3.Why datasets are so important ?
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This video is the third in a series of talks on artificial intelligence. In the previous one you learned about the machine learning and what we can learn from data . This video will present examples and discussion around problems of bias and consistency.
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#4. Models for artificial neurons
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This video is the fourth in a series of talks on artificial intelligence. In the previous one you learned about the importance of datasets, as well as examples around problems of bias and consistency. This video will present models for artificial neurons. The basic element of a neural network is … the neuron of course!
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#5. Neuronal Networks Capacities
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This video is the fifth in a series of talks on artificial intelligence. In the previous one, you learned about models for artificial neurons. This video will present the role of these neurons, its power when arranged in large networks.
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#6. Neural Networks Architectures
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This video is the sixth in a series of talks on artificial intelligence. In the previous one, you learned about the role of these neurons, its power when arranged in large networks. This video will present how it is done inside the network and the neural network architectures.
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#7. Learning Process
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This video is the seventh in a series of talks on artificial intelligence. In the previous one, you learned about neural network architectures, its power when arranged in large networks. This video will present the learning process.
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#8. More just than neuros : Reinforcement learning & GAN
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This video is the eighth in a series of talks on artificial intelligence. In the previous one, you learned about learning process. This video will present reinforcement learning &
Generative Adversarial Networks.
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Season 2 |
#1. Deep Learning Methodology
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This video is the first in a series of talks on artificial intelligence. it deals with the meaning of deep learning application, the way a model is learnt and the use of learning frameworks. Let's get through deep learning methodology by definig the problem and precising data preparation and collection.
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#2. Deep Learning: learn, popular software frameworks
| This video is the second in a series of talks on artificial intelligence. This 2nd episode presents the deep learning strategies and the 5 most popular frameworks. Explanations and recommendations for beginners, professionals and experts. | |
#3. Deep learning: learn, troubleshooting
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This video is the third in a series of talks on artificial intelligence. This episode features Alexandre Valentian who takes a look at the learning phase itself and reviews troubleshooting strategies and solutions.
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#4. Hardware plateforms for deep learning applications
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This video is the fourth and the last in a series of talks on artificial intelligence. This episode features Alexandre Valentian who presents the various hardware platforms for deep learning applications, including CPUs, GPUs, TPUs and FPGAs
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