Chapter
Daily Schedule for Learning Deep Learning Fundamentals
40:12 - 51:27 (11:14)
The podcast discusses a potential daily routine for individuals learning deep learning, focusing on the fundamentals of supervised learning with simple data sets like MNIST, and discouraging the exclusive use of deep learning in AI teams.
Clips
Deep reinforcement learning is a great way to demonstrate the power of neural networks, but it can be challenging to learn due to the many interconnected concepts.
40:12 - 42:55 (02:43)
Summary
Deep reinforcement learning is a great way to demonstrate the power of neural networks, but it can be challenging to learn due to the many interconnected concepts. Building a strong understanding of the foundational concepts is important for being able to grasp more advanced topics in the field, such as RNNs and attention models.
ChapterDaily Schedule for Learning Deep Learning Fundamentals
Episode#73 – Andrew Ng: Deep Learning, Education, and Real-World AI
PodcastLex Fridman Podcast
Despite being a well-known branch of machine learning, reinforcement learning has several challenges that hinder its deployment in real-life applications.
42:55 - 44:31 (01:35)
Summary
Despite being a well-known branch of machine learning, reinforcement learning has several challenges that hinder its deployment in real-life applications. Senior machine learning researchers and experts emphasize that certain conditions have to be met before it can be broadly used.
ChapterDaily Schedule for Learning Deep Learning Fundamentals
Episode#73 – Andrew Ng: Deep Learning, Education, and Real-World AI
PodcastLex Fridman Podcast
The fundamentals of supervised learning in the context of simple data sets, like an MNIST data set, are essential to understand before delving into other machine learning techniques like deep learning and unsupervised learning.
44:31 - 47:05 (02:34)
Summary
The fundamentals of supervised learning in the context of simple data sets, like an MNIST data set, are essential to understand before delving into other machine learning techniques like deep learning and unsupervised learning.
ChapterDaily Schedule for Learning Deep Learning Fundamentals
Episode#73 – Andrew Ng: Deep Learning, Education, and Real-World AI
PodcastLex Fridman Podcast
Researchers have found that by training large neural networks on tasks such as predicting missing words and identifying puzzle pieces, the hidden layer representation can be transferred to different tasks with great success.
47:05 - 48:57 (01:51)
Summary
Researchers have found that by training large neural networks on tasks such as predicting missing words and identifying puzzle pieces, the hidden layer representation can be transferred to different tasks with great success.
ChapterDaily Schedule for Learning Deep Learning Fundamentals
Episode#73 – Andrew Ng: Deep Learning, Education, and Real-World AI
PodcastLex Fridman Podcast
The deep learning movement began with representation learning and returning to its fundamentals can aid in learning about it.
48:57 - 51:27 (02:29)
Summary
The deep learning movement began with representation learning and returning to its fundamentals can aid in learning about it. A recommended daily schedule for learning is not provided but the official length of the deep learning specialization is about 16 weeks.