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TensorFlow & Keras

Build and train deep learning models with TensorFlow ecosystem.

Course Duration: 12 hours​

What You'll Learn​

  • TensorFlow fundamentals
  • Keras Sequential and Functional API
  • Model training and evaluation
  • Callbacks and checkpoints
  • TensorBoard visualization
  • Model deployment

Prerequisites​

  • Deep Learning Fundamentals
  • Python programming

Course Modules​

  1. TensorFlow Introduction
  2. Tensors and Operations
  3. Keras Sequential API
  4. Keras Functional API
  5. Custom Layers and Models
  6. Training Loops
  7. Callbacks
  8. TensorBoard
  9. Saving and Loading Models
  10. Data Pipelines (tf.data)
  11. TensorFlow Hub
  12. Model Deployment (TF Serving)

Code Example​

import tensorflow as tf
from tensorflow import keras

model = keras.Sequential([
    keras.layers.Dense(128, activation='relu'),
    keras.layers.Dense(10, activation='softmax')
])