Deep Learning Essentials: From Neurons to Transformers
Unlock the Mysteries of AI: Master Deep Learning from Neurons to Neural Networks with Professor Bryce! Dive into cutting-edge topics like Neural Network Training, Transformers, and GANs. Your journey from basics to breakthroughs starts here!
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279 learners
What you'll learn
Understand the fundamentals and applications of deep learning.
Identify the components and processes involved in neural network training.
Apply techniques to enhance model performance and prevent overfitting.
Implement advanced neural network architectures and optimization strategies.
This course includes
6.3 hours of video
Certificate of completion
Access on mobile and TV
Course content
1 modules
• 26 lessons
• 6.3 hours of video
Deep Learning Essentials: From Neurons to Transformers
26 lessons
• 6.3 hours
▶
What is Deep Learning? (DL 01)10:13
Deep Learning Prerequisites (DL 02)05:05
What can a single neuron compute? (DL 03)11:46
How to train your neuron (DL 04)20:09
The Data Analysis Pipeline (DL 05)14:18
Out-of-Sample Validation (DL 06)14:55
Feed-Forward Neural Networks (DL 07)16:19
Neural Network Backpropagation (DL 08)18:02
Better Activation & Loss for Classification: Softmax & Categorical Crossentropy (DL 09)14:50
Making Neural Networks Fast with Vectorization (DL 10)19:44
Vanishing (or Exploding) Gradients (DL 11)12:06
Avoiding Neural Network Overfitting (DL 12)13:17
Convolutional Layers (DL 13)23:44
Training large networks with little data: transfer learning and data augmentation (DL 14)12:00
Residual Networks and Skip Connections (DL 15)17:00
