requirements.txt

# TensorFlow is much easier to install using Anaconda, especially
# on Windows or when using a GPU. Please see the installation
# instructions in INSTALL.md


##### Core scientific packages
jupyter==1.0.0
matplotlib==3.3.4
numpy==1.22.0
pandas==1.2.2
scipy==1.6.0

##### Machine Learning packages
scikit-learn==0.24.1

##### TensorFlow-related packages

# If you have a TensorFlow compatible GPU, with CUDA Compute Capability 3.5
# support or higher, you must install CUDA, cuDNN and more: see
# tensorflow.org for the detailed installation instructions.

tensorflow==2.7.2
# Optional: the TF Serving API library is just needed for chapter 19.
tensorflow-serving-api==2.4.1

tensorboard==2.4.1
tensorboard-plugin-profile==2.4.0
tensorflow-datasets==3.0.0
tensorflow-hub==0.9.0

##### Image manipulation
Pillow==9.0.1
pydot
graphviz

##### Additional utilities

# Easy http requests
requests==2.25.1

# Nice utility to diff Jupyter Notebooks.
nbdime==2.1.1