deep-learning-with-python
There are 3 repositories under deep-learning-with-python topic.
ehcastroh/intro_TENSORFLOW
DATA-X: m410 - TensorFlow - Shallow Neural Networks; An Introduction to TensorFlow V.2. Tensorflow (TF) is an open-source library used for dataflow, differentiable programming, symbolic math, and machine learning applications such as deep learning neural networks. TF's flexible architecture allows for easy deployment across varied processing platforms. This notebook covers advanced topics in machine learning. However, it does not require any prior knowledge in machine learning. The goal of this notebook is to teach a user how to deploy a TF model, as well as to provide the user guidance on how to tackle the more nuanced topics.
ehcastroh/reg_clas_TF_LUDWIG
DATA-X: m420 - Bread & Butter Deep Learning: Regression and Classification using TensorFlow v2 and Ludwig. This notebook covers advanced topics in machine learning. However, it does not require any prior knowledge in machine learning. The goal of this notebook is to teach a user how to deploy deep learning regression and classification models, using structured data. This is task is so common to machine learning, that it is pretty much the bread and butter of ML engineers.
suagar10/keras_practice
A collection of exercises done while reading the book "Deep Learning with Python" by François Chollet