Prerequisites: Proficiency in Python programming. Familiarity with fundamental machine learning concepts (e.g., supervised learning, training/validation splits, basic model types).

Level: Intermediate

What You'll Learn

• TensorFlow Core Operations

  Manipulate tensors, perform mathematical operations, and understand automatic differentiation.

• Keras API Model Building

  Construct models using the Sequential and Functional APIs in Keras.

• Model Training and Evaluation

  Compile models with appropriate optimizers and loss functions, train them using fit(), and evaluate performance.

• Data Input Pipelines

  Create efficient data loading pipelines using the tf.data API.

• Model Persistence

  Save and load trained TensorFlow models and weights.

• TensorBoard Integration

  Utilize TensorBoard for visualizing training metrics and model graphs.