The demand for professionals skilled in deep learning and video classification is increasing rapidly in the industry, and this course will equip you with the necessary skills to stay ahead of the competition. This course is suitable for anyone interested in deep learning and video classification, including data scientists, machine learning engineers, and computer vision experts. Additionally, you will learn how to optimize and fine-tune your model for better accuracy. Blender is 1 at creating ideas fast If there’s one main thing Blender is way better at than any other software out there, it’s getting ideas from your brain and into 3D space as quickly as possible. You will gain a deep understanding of deep learning techniques, including feature extraction, preprocessing, and training with Keras and TensorFlow. The faster you can learn those fundamentals in one tool, the better artist you will be in any of them. Through this course, you will learn how to extract features from video frames using pre-trained convolutional neural networks, preprocess the video data for use in a custom prediction loop, and train a Transformer-based classification model using Keras.īy the end of this course, you will be able to build your own video classification model and apply it to various real-world scenarios. Video classification has numerous applications, from surveillance to entertainment, making it an essential skill in today's data-driven world. On the first day, in this Blender tutorial, we will discuss the absolute Blender basics, and work our way around the software interface, getting comfortable with Blender interface, creating basic objects, transformation tools, what is 3d cursor, origin, local and global axis, snapping.
This course is designed to teach you how to build a video classification model using Keras and TensorFlow, with a focus on action recognition. Day 1 Absolute Basics Blender introduction tutorial.
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