Deep Learning

Master Deep Learning | A Step-by-Step Guide for 2022 | Practice your skills with 200 (MCQs) Multiple Choice Questions.

Develop commercial-level deep learning applications with state-of-the-art neural networks in Tensorflow 2 and Keras

Machine Learning & Neural Networks for Computer Vision, Time Series Analysis, NLP, GANs, Reinforcement Learning, +More!

Unlock the groundbreaking advances of deep learning with this extensively revised new edition of the bestselling original. Learn directly from the creator of Keras and master practical Python deep learning techniques that are easy to apply in the real world

Master Deep Learning | A Step-by-Step Guide for 2021

If you want to break into cutting-edge AI, this course will help you do so. Deep learning engineers are highly sought after, and mastering deep learning will give you numerous new career opportunities. Deep learning is also a new "superpower" that will let you build AI systems that just weren't possible a few years ago.

The goal of this course is to give learners basic understanding of modern neural networks and their applications in computer vision and natural language understanding. The course starts with a recap of linear models and discussion of stochastic optimization methods that are crucial for training deep neural networks. Learners will study all popular building blocks of neural networks including fully connected layers, convolutional and recurrent layers.

Go from Beginner to Expert using Deep Learning for Computer Vision (Keras, TF & Python) with 28 Real World Projects