Notebooks for my "Deep Learning with TensorFlow 2 and Keras" course
Notebooks and Colab links for the code samples for the Manning video course "Deep Learning Crash Course"
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
15+ Machine/Deep Learning Projects in Ipython Notebooks
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
Deep Learning for Biology course materials / Higher School of Economics, 2018
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
For those who already have some basic idea about deep learning, and preferably are familiar with PyTorch.
Course material for introduction to deep learning in TensorFlow
This Repository contains Python Notebooks to learn PyTorch starting from the very basics of implementing gradient descent algorithm in Python and Numpy and slowly moving up the ladder to Deep Learning using PyTorch
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