Introduction | Deep Learning Tutorial 1 (Tensorflow Tutorial, Keras & Python)
Introduction to Deep Learning Tutorial Series
In this section, the instructor introduces a deep learning tutorial series in Python for absolute beginners. Prior background in deep learning is not required, but some knowledge of Python, pandas, and machine learning is recommended.
Getting Started with Python, Pandas, and Machine Learning
- To prepare for the deep learning series, follow the instructor's Python playlist (first 16 videos) to learn Python basics.
- For understanding data cleaning procedures in pandas, watch the first 9 videos of the instructor's pandas playlist.
- Familiarize yourself with machine learning concepts by following tutorials on SVM, decision trees, linear regression, and more from the instructor's machine learning tutorial playlist.
Deep Learning Series Overview
- The deep learning series will be conducted using Python and popular libraries such as Keras and TensorFlow. There might also be usage of PyTorch.
- The instructor aims to keep things simple and easy to follow as deep learning can involve complex mathematics and statistics. The goal is to make it accessible even for beginners without a strong math or stats background.
- Throughout the series, the instructor will gradually cover important math concepts related to deep learning.
- Simple datasets will be used for better understanding.
- Exercises may be provided for practice purposes.
Announcement from NVIDIA
- NVIDIA has generously provided the instructor with an Nvidia Titan RTX GPU worth $2,500 for free. This GPU is highly recommended for running heavy deep learning tasks.
- The instructor plans to create an unboxing video of the Nvidia Titan RTX GPU and build their own PC using this GPU.
- While it is possible to run deep learning on a laptop, having a powerful GPU like the Nvidia Titan RTX is beneficial for more advanced tasks.
The transcript provided does not contain any timestamps beyond 0:02:34.