Deep Learning Withpytorch

Deep Learning with Python for Classification, Semantic and Instance Segmentation, Pose Estimation, and Object Detection

Deep Learning with Python for Classification, Semantic and Instance Segmentation, Pose Estimation, and Object Detection

Machine Learning, Natural Language Processing, Computer Vision, Adversarial Learning, Neural Networks, NLP

Go from Beginner to Expert with building intuition on single neuron till deep neural networks in Keras & tensorflow

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

Learn to create Deep Learning Algorithms in Python from two Machine Learning & Data Science experts. Templates included.

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