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Deep Learning with Neural Networks
Curriculum
4 Sections
15 Lessons
4 Hours
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Neural Network Foundations
4
1.1
From Neuron to Network
22 Minutes
1.2
Activation Functions and Layers
12 Minutes
1.3
How Networks Learn: Backpropagation Intuition
8 Minutes
1.4
Loss Functions and Optimisers
17 Minutes
Building Networks
4
2.1
Your First Network in Keras/PyTorch
22 Minutes
2.2
Training: Batches, Epochs, Learning Rates
12 Minutes
2.3
Diagnosing Under- and Overfitting
8 Minutes
2.4
Regularisation: Dropout and More
20 Minutes
Specialised Architectures
4
3.1
CNNs for Images
17 Minutes
3.2
RNNs and Sequences
15 Minutes
3.3
Transfer Learning in Practice
12 Minutes
3.4
Introduction to Transformers
10 Minutes
Applied Deep Learning
3
4.1
Working with GPUs and Colab
22 Minutes
4.2
Data Augmentation
21 Minutes
4.3
Course Project: Image Classifier
23 Minutes
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