By building models from scratch (NumPy), you learn to appreciate the efficiency of modern frameworks like TensorFlow.
and Mathematicians looking for fundamental properties and a "from-scratch" understanding. Applied Deep Learning: A Case-Based Approach to...
Each method is paired with real-world examples to demonstrate theoretical concepts in action. Target Audience By building models from scratch (NumPy), you learn
A significant portion is dedicated to diagnosing common training problems such as variance , bias , and overfitting . It also explores hyperparameter tuning using methods like Grid Search and Bayesian Optimization . Target Audience A significant portion is dedicated to
Covers essential topics like activation functions (ReLU, sigmoid, Swish), linear and logistic regression, and neural network architectures.
This 2018 title was followed by (2019), which builds on these foundations to cover specialized topics like object detection with Keras. ICAART 2021 - tutorials
The book emphasizes the importance of how to split datasets into train, dev, and test sets to solve real-world problems effectively.