Learn to build AI apps with Tensorflow. Build, train, and optimize deep neural networks and dive deep into Computer Vision, Natural Language Processing, and Time Series Analysis, along with best practices and hands-on experience in one of the most in-demand deep learning frameworks.

Instructor: Laurence Moroney

What you'll learn

  •   Best practices for TensorFlow, a popular open-source machine learning framework to train a neural network for computer vision applications.
  •   Handle real-world image data and explore strategies to prevent overfitting, including augmentation and dropout.
  •   Build natural language processing systems using TensorFlow.
  •   Apply RNNs, GRUs, and LSTMs as you train them using text repositories.

    • Skills you'll gain

  •   Image Analysis
  •   Predictive Modeling
  •   Computer Vision
  •   Tensorflow
  •   Applied Machine Learning
  •   Text Mining
  •   Keras (Neural Network Library)
  •   Generative AI
  •   Supervised Learning
  •   Artificial Neural Networks
  •   Forecasting
  •   Natural Language Processing

    • Professional Certificate - 4 course series

    - Create forecasts for univariate time series using deep neural networks

    Convolutional Neural Networks in TensorFlow

    Natural Language Processing in TensorFlow

    Sequences, Time Series and Prediction

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