Use `np.unique(y_train)` to view all labels in `y_train`
Use `set(y_train)` to view unique labels if `y_train` is a list
Use `print(y_train.shape)` to check the label array...
Learn Python basics
Learn math fundamentals: linear algebra, calculus, probability, statistics
Learn data handling with NumPy, pandas, and Matplotlib
Learn core ML concepts: supervised, unsupervised, and reinforcement...
Learn Python basics
Learn math fundamentals: linear algebra, calculus, probability, statistics
Learn data handling with NumPy, Pandas, and Matplotlib
Learn core ML concepts: supervised learning, unsupervised learning,...
Learn Python
Learn basic math
Learn statistics
Learn data handling
Learn data visualization
Study machine learning fundamentals
Learn supervised learning
Learn unsupervised learning
Learn model evaluation
Learn feature engineering
Learn common algorithms
Practice with small...
Open Google Colab and create a new notebook
Set the runtime to GPU
Mount Google Drive if you want to save data or models
Install required libraries
Import...
Increase the classifier head depth
Add Batch Normalization between dense layers
Use Dropout in the classifier head
Increase the number of units in dense layers
Use Global Average...
Use GPU runtime: `Runtime > Change runtime type > GPU`
Verify GPU availability: `!nvidia-smi`
Use mixed precision: `tf.keras.mixed_precision.set_global_policy("mixed_float16")`
Reduce input image size when possible
Use `tf.data` pipelines instead...
